About: Senior UI/UX Designer with 7+ years across AI-driven consumer and enterprise platforms. Shipped an AI POS at RadiusAI now live in 900+ stores and NFL stadiums ($150K+ processed, 7K transactions, ~6s checkouts). Patent holder \u2014 EEG-controlled exoskeleton for post-stroke rehab. Integrate AI into design workflows to move faster from problem to validated interaction.
Location: Remote (Asia + worldwide), async-friendly across time zones\nRemote: Yes\nWilling to relocate: India and UAE
Technologies:\n Design: Figma, Illustrator, Photoshop\n Prototyping: Figma, Figma Make, Framer, After Effects\n Animation: Lottie, LottieLab, After Effects\n AI: Claude MCP, Google AI Studio, Figma Make\n Wireframing & Flows: Figma, FigJam, Miro\n Handoff: Zeplin, Figma
Skills: design systems, prototyping, journey mapping, usability testing, info architecture, system design, responsive design, user modeling, prompt engineering, AI workflows, generative UX, AI validation, AI strategy
Portfolio: https://suleimanyusuf.framer.website/\nResume: https://drive.google.com/file/d/1CoRMzO0nR-eHmgrcZY8RBt-Zesi...\nEmail: suleimanyusufbiomedi720@gmail.com"},"story_title":{"matchLevel":"none","matchedWords":[],"value":"Ask HN: Who wants to be hired? (May 2026)"}},"_tags":["comment","author_suleimanyusuf","story_47975570"],"author":"suleimanyusuf","comment_text":"Availability : Immediate
About: Senior UI/UX Designer with 7+ years across AI-driven consumer and enterprise platforms. Shipped an AI POS at RadiusAI now live in 900+ stores and NFL stadiums ($150K+ processed, 7K transactions, ~6s checkouts). Patent holder \u2014 EEG-controlled exoskeleton for post-stroke rehab. Integrate AI into design workflows to move faster from problem to validated interaction.
Location: Remote (Asia + worldwide), async-friendly across time zones\nRemote: Yes\nWilling to relocate: India and UAE
Technologies:\n Design: Figma, Illustrator, Photoshop\n Prototyping: Figma, Figma Make, Framer, After Effects\n Animation: Lottie, LottieLab, After Effects\n AI: Claude MCP, Google AI Studio, Figma Make\n Wireframing & Flows: Figma, FigJam, Miro\n Handoff: Zeplin, Figma
Skills: design systems, prototyping, journey mapping, usability testing, info architecture, system design, responsive design, user modeling, prompt engineering, AI workflows, generative UX, AI validation, AI strategy
Portfolio: https://suleimanyusuf.framer.website/\nResume: https://drive.google.com/file/d/1CoRMzO0nR-eHmgrcZY8RBt-Zesi...\nEmail: suleimanyusufbiomedi720@gmail.com","created_at":"2026-05-02T17:04:00Z","created_at_i":1777741440,"objectID":"47988187","parent_id":47975570,"story_id":47975570,"story_title":"Ask HN: Who wants to be hired? (May 2026)","updated_at":"2026-05-02T22:10:59Z"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"khuknows"},"comment_text":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["figma","make","ai"],"value":"Hovercode | https://hovercode.com | REMOTE | Full-time or part-time | Full-stack developer
Hovercode is a QR code generator and analytics platform. We're a small, profitable company that's based in the UK and is trusted by tens of thousands worldwide. It's a pretty simple business compared to most on here and right now it's just me running it.
We're seeking a full-stack developer (mid level) who's language agnostic. Your primary focus will be improving our existing integrations and creating new ones. Integrations on our roadmap: Chrome, Figma, Airtable, Zapier, Make, and possibly more. If that works out, you will start to work on the core product, which is built with Django, Postgres and some Golang on the backend with mostly HTML, Alpine.js, HTMX, and vanilla JS on the front-end (and Tailwind).
Hovercode isn't a startup per se, but a small software business, so it's a calm working environment and part-time is an option. This makes it well suited to someone who wants more time and energy for life or to hack on their own projects etc.
More details and a short application form here: https://hovercode.com/careers/full-stack-dev/"},"story_title":{"matchLevel":"none","matchedWords":[],"value":"Ask HN: Who is hiring? (September 2024)"}},"_tags":["comment","author_khuknows","story_41425910"],"author":"khuknows","children":[41443010,41486681],"comment_text":"Hovercode | https://hovercode.com | REMOTE | Full-time or part-time | Full-stack developer
Hovercode is a QR code generator and analytics platform. We're a small, profitable company that's based in the UK and is trusted by tens of thousands worldwide. It's a pretty simple business compared to most on here and right now it's just me running it.
We're seeking a full-stack developer (mid level) who's language agnostic. Your primary focus will be improving our existing integrations and creating new ones. Integrations on our roadmap: Chrome, Figma, Airtable, Zapier, Make, and possibly more. If that works out, you will start to work on the core product, which is built with Django, Postgres and some Golang on the backend with mostly HTML, Alpine.js, HTMX, and vanilla JS on the front-end (and Tailwind).
Hovercode isn't a startup per se, but a small software business, so it's a calm working environment and part-time is an option. This makes it well suited to someone who wants more time and energy for life or to hack on their own projects etc.
More details and a short application form here: https://hovercode.com/careers/full-stack-dev/","created_at":"2024-09-04T07:06:16Z","created_at_i":1725433576,"objectID":"41442694","parent_id":41425910,"story_id":41425910,"story_title":"Ask HN: Who is hiring? (September 2024)","updated_at":"2024-12-03T23:54:29Z"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"diegof79"},"comment_text":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["figma","make","ai"],"value":"Point of view as a Figma user...
With all the AI tools, the market is in a transition period.
Those transitions are crucial for a product's success or failure. For example, the transition from web to mobile with the iPhone, along with the growing pains of using Photoshop and Illustrator for mockups, opened the door to Sketch. Then, the evolution of web apps, like Google Docs, opened the door to Figma (while other products like InVision had a drastic fall). What they accomplished in a web app is an impressive engineering feat, so they have an excellent engineering team.
The good: Figma is implementing multiple product updates to capitalize on the "AI wave". The Figma Make in beta is very similar to Vercel's v0 (and others). Still, the tight integration with Figma could help them leverage their current subscriptions and attract designers, PMs, and developers. Recently, they released an MCP server in beta that enables AI coding tools to obtain information from designs. While many designers may disagree with me, I believe that at least they are trying to maintain a leading position in a rapidly shifting market.
The bad: They are diversifying their product offering too much, trying to compete on many fronts. Figma Site competes with Framer and Webflow, and Figma Buzz aims at digital marketing, which is usually covered by many tools (including Canva). Figma Slides is ideal for designers who use Figma daily, but it may not be as user-friendly for those transitioning from PowerPoint or Keynote.\nThey switched the focus from the Design->Dev process that made them successful. The dev mode still doesn't resolve many issues, such as versioning, and the variable features seem half-baked; component handling needs more love, and the prototyping options are still limited.
The future... is hard to tell. In terms of UI design tools, they are the leaders. Penpot is far from being stable; Sketch is similar, but their web experience is not as good as Figma. Unless a new player enters the market, their biggest threat is a significant disruption caused by AI tools... but the tools I've seen so far are not different from Figma Make."},"story_title":{"fullyHighlighted":false,"matchLevel":"partial","matchedWords":["figma"],"value":"Figma files for proposed IPO"},"story_url":{"fullyHighlighted":false,"matchLevel":"partial","matchedWords":["figma"],"value":"https://www.figma.com/blog/s1-public/"}},"_tags":["comment","author_diegof79","story_44437316"],"author":"diegof79","comment_text":"Point of view as a Figma user...
With all the AI tools, the market is in a transition period.
Those transitions are crucial for a product's success or failure. For example, the transition from web to mobile with the iPhone, along with the growing pains of using Photoshop and Illustrator for mockups, opened the door to Sketch. Then, the evolution of web apps, like Google Docs, opened the door to Figma (while other products like InVision had a drastic fall). What they accomplished in a web app is an impressive engineering feat, so they have an excellent engineering team.
The good: Figma is implementing multiple product updates to capitalize on the "AI wave". The Figma Make in beta is very similar to Vercel's v0 (and others). Still, the tight integration with Figma could help them leverage their current subscriptions and attract designers, PMs, and developers. Recently, they released an MCP server in beta that enables AI coding tools to obtain information from designs. While many designers may disagree with me, I believe that at least they are trying to maintain a leading position in a rapidly shifting market.
The bad: They are diversifying their product offering too much, trying to compete on many fronts. Figma Site competes with Framer and Webflow, and Figma Buzz aims at digital marketing, which is usually covered by many tools (including Canva). Figma Slides is ideal for designers who use Figma daily, but it may not be as user-friendly for those transitioning from PowerPoint or Keynote.\nThey switched the focus from the Design->Dev process that made them successful. The dev mode still doesn't resolve many issues, such as versioning, and the variable features seem half-baked; component handling needs more love, and the prototyping options are still limited.
The future... is hard to tell. In terms of UI design tools, they are the leaders. Penpot is far from being stable; Sketch is similar, but their web experience is not as good as Figma. Unless a new player enters the market, their biggest threat is a significant disruption caused by AI tools... but the tools I've seen so far are not different from Figma Make.","created_at":"2025-07-01T22:53:58Z","created_at_i":1751410438,"objectID":"44438705","parent_id":44438077,"story_id":44437316,"story_title":"Figma files for proposed IPO","story_url":"https://www.figma.com/blog/s1-public/","updated_at":"2025-07-02T16:03:25Z"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"adamgins"},"story_text":{"fullyHighlighted":false,"matchLevel":"partial","matchedWords":["figma"],"value":"This is a game changer for making Figma files real"},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["figma","make","ai"],"value":"Show HN: Early Look \u2013 Figma to Make It Work / Make It Real Using AI Automarkup"},"url":{"matchLevel":"none","matchedWords":[],"value":"https://www.youtube.com/undefined"}},"_tags":["story","author_adamgins","story_41253250","show_hn"],"author":"adamgins","children":[41253255,41260471],"created_at":"2024-08-15T05:07:08Z","created_at_i":1723698428,"num_comments":3,"objectID":"41253250","points":3,"story_id":41253250,"story_text":"This is a game changer for making Figma files real","title":"Show HN: Early Look \u2013 Figma to Make It Work / Make It Real Using AI Automarkup","updated_at":"2024-09-20T17:38:53Z","url":"https://www.youtube.com/undefined"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"albertsikkema"},"title":{"fullyHighlighted":false,"matchLevel":"partial","matchedWords":["figma","make"],"value":"Show HN: Extracting React apps from Figma Make's undocumented binary format"},"url":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["figma","make","ai"],"value":"https://albertsikkema.com/ai/development/tools/reverse-engineering/2026/01/23/reverse-engineering-figma-make-files.html"}},"_tags":["story","author_albertsikkema","story_46728659","show_hn"],"author":"albertsikkema","children":[46728664,46728745,46796904,46798667,46798948,46799385],"created_at":"2026-01-23T05:07:02Z","created_at_i":1769144822,"num_comments":24,"objectID":"46728659","points":55,"story_id":46728659,"title":"Show HN: Extracting React apps from Figma Make's undocumented binary format","updated_at":"2026-03-05T23:23:50Z","url":"https://albertsikkema.com/ai/development/tools/reverse-engineering/2026/01/23/reverse-engineering-figma-make-files.html"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"laktak"},"title":{"fullyHighlighted":false,"matchLevel":"partial","matchedWords":["figma","ai"],"value":"Figma explains how its AI tool ripped off Apple's design"},"url":{"fullyHighlighted":false,"matchLevel":"partial","matchedWords":["figma","make"],"value":"https://www.theverge.com/2024/7/18/24201308/figma-make-designs-vet-apple"}},"_tags":["story","author_laktak","story_41002492"],"author":"laktak","children":[41003916],"created_at":"2024-07-19T06:29:02Z","created_at_i":1721370542,"num_comments":1,"objectID":"41002492","points":8,"story_id":41002492,"title":"Figma explains how its AI tool ripped off Apple's design","updated_at":"2025-10-07T18:21:53Z","url":"https://www.theverge.com/2024/7/18/24201308/figma-make-designs-vet-apple"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"euxd"},"title":{"fullyHighlighted":false,"matchLevel":"partial","matchedWords":["figma","ai"],"value":"Figma explains how its AI tool ripped off Apple's design"},"url":{"fullyHighlighted":false,"matchLevel":"partial","matchedWords":["figma","make"],"value":"https://www.theverge.com/2024/7/18/24201308/figma-make-designs-vet-apple"}},"_tags":["story","author_euxd","story_41008674"],"author":"euxd","created_at":"2024-07-19T17:12:35Z","created_at_i":1721409155,"num_comments":0,"objectID":"41008674","points":3,"story_id":41008674,"title":"Figma explains how its AI tool ripped off Apple's design","updated_at":"2024-09-20T17:23:54Z","url":"https://www.theverge.com/2024/7/18/24201308/figma-make-designs-vet-apple"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"James_Atlas"},"story_text":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["figma","make","ai"],"value":"I lead an AI Lab at a Fortune 500 healthcare org, we\u2019re actively exploring how to integrate AI into our design workflows. We've been experimenting with tools like V0, Bolt, Lovable, and others. I\u2019m particularly curious about Figma Make and how it fits into this evolving space.
What have you built with it?\nHow does it compare to your existing design workflows?\nDoes it live up to the "vibe-coding" promise?\nAny limitations or surprises you've encountered?"},"title":{"fullyHighlighted":false,"matchLevel":"partial","matchedWords":["figma","make"],"value":"Ask HN: Anyone using Figma Make? What have you built?"}},"_tags":["story","author_James_Atlas","story_43925980","ask_hn"],"author":"James_Atlas","children":[43926289],"created_at":"2025-05-08T13:35:56Z","created_at_i":1746711356,"num_comments":0,"objectID":"43925980","points":2,"story_id":43925980,"story_text":"I lead an AI Lab at a Fortune 500 healthcare org, we\u2019re actively exploring how to integrate AI into our design workflows. We've been experimenting with tools like V0, Bolt, Lovable, and others. I\u2019m particularly curious about Figma Make and how it fits into this evolving space.
What have you built with it?\nHow does it compare to your existing design workflows?\nDoes it live up to the "vibe-coding" promise?\nAny limitations or surprises you've encountered?","title":"Ask HN: Anyone using Figma Make? What have you built?","updated_at":"2025-05-10T13:24:21Z"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"scosman"},"story_text":{"fullyHighlighted":false,"matchLevel":"partial","matchedWords":["make","ai"],"value":"I've been hard at work on Kiln (3k Github stars, ~10k users):
- Gihub: https://github.com/Kiln-AI/Kiln
- Demo Video: https://getkiln.ai#demo
It's goal is to makes AI model+product development processes better in a bunch of ways:
- Truly intuitive desktop apps, on top of our open-source python library
- Rapid prototyping: Quickly try a range of state of the art models+techniques (no code needed)
- Task specific evals: How does the system perform on your goals (not just global benchmarks)
- Iterate with confidence: update to better+faster models/techniques, knowing it works on all past evals/tests
- Team collaboration: get the entire team (PM/QA/Eng/Design/DS) engaged early and often. Shared datasets+evals you can sync with Git.
Features include:
- Fine tune dozens of models
- Interactive synthetic data generation to build train/eval datasets
- Powerful custom evals: LLM as Judge and G-Eval
- Collaboration: share with Git or shared drives
- Runs any LLM: locally or remote
- Private: it's local software
- Open Source Python library
- Completely free
- Much more: dataset management, ratings, prompt generators, JSON support, LLM repairs, reasoning models...
Happy to answer any questions!"},"title":{"fullyHighlighted":false,"matchLevel":"partial","matchedWords":["figma","ai"],"value":"Show HN: Kiln \u2013 GitHub+Jira+Figma for AI product development"}},"_tags":["story","author_scosman","story_43525610","show_hn"],"author":"scosman","created_at":"2025-03-30T16:58:20Z","created_at_i":1743353900,"num_comments":0,"objectID":"43525610","points":2,"story_id":43525610,"story_text":"I've been hard at work on Kiln (3k Github stars, ~10k users):
- Gihub: https://github.com/Kiln-AI/Kiln
- Demo Video: https://getkiln.ai#demo
It's goal is to makes AI model+product development processes better in a bunch of ways:
- Truly intuitive desktop apps, on top of our open-source python library
- Rapid prototyping: Quickly try a range of state of the art models+techniques (no code needed)
- Task specific evals: How does the system perform on your goals (not just global benchmarks)
- Iterate with confidence: update to better+faster models/techniques, knowing it works on all past evals/tests
- Team collaboration: get the entire team (PM/QA/Eng/Design/DS) engaged early and often. Shared datasets+evals you can sync with Git.
Features include:
- Fine tune dozens of models
- Interactive synthetic data generation to build train/eval datasets
- Powerful custom evals: LLM as Judge and G-Eval
- Collaboration: share with Git or shared drives
- Runs any LLM: locally or remote
- Private: it's local software
- Open Source Python library
- Completely free
- Much more: dataset management, ratings, prompt generators, JSON support, LLM repairs, reasoning models...
Happy to answer any questions!","title":"Show HN: Kiln \u2013 GitHub+Jira+Figma for AI product development","updated_at":"2025-03-30T17:49:41Z"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"kadhirvelm"},"title":{"fullyHighlighted":false,"matchLevel":"partial","matchedWords":["figma","make"],"value":"Extracting standalone HTML files from Lovable, Figma make, Canva code and more"},"url":{"fullyHighlighted":false,"matchLevel":"partial","matchedWords":["ai"],"value":"https://productnow.ai/blogs/extracting-html-from-ai-prototyping-tools"}},"_tags":["story","author_kadhirvelm","story_48720165"],"author":"kadhirvelm","created_at":"2026-06-29T15:00:26Z","created_at_i":1782745226,"num_comments":0,"objectID":"48720165","points":1,"story_id":48720165,"title":"Extracting standalone HTML files from Lovable, Figma make, Canva code and more","updated_at":"2026-06-29T15:04:39Z","url":"https://productnow.ai/blogs/extracting-html-from-ai-prototyping-tools"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"antonoo"},"story_text":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["figma","make","ai"],"value":"Hey HN! Previous CERN physicist turned hacker here.
We've developed a way to make AI coding actually work by systematically identifying and fixing places where LLMs typically fail in full-stack development. Today we're launching as Lovable (previously gptengineer.app) since it's such a big change.
The problem? AI writing code typically make small mistakes and then get stuck. Those who tried know the frustration. We fixed most of this by mapping out where LLMs fail in full-stack dev and engineering around those pitfalls with prompt chains.
Thanks to this, in all comparisons I found with: v0, replit, bolt etc we are actually winning, often by a wide margin.
What we have been working on since my last post (https://news.ycombinator.com/item?id=41380814):
> Handling larger codebases. We actually found that using small LLMs works much better than traditional RAG for this.
> Infra work to enable instant preview (it spins up dev environments quickly thanks to microVMs and idle pools of machines)
> A native integration with Supabase. This enables users to build full-stack apps (complete with auth, db, storage, edge functions) without leaving our editor.
Interesting project as an example:
https://likeable.lovable.app \u2013 a clone of our product, built with our AI. Looks like a perfect copy and works (click "edit with lovable" to get to a recursive editor...)
Going forward, we're shipping improvements weekly, focusing on making it faster, even more reliable and adding visual editing experience similar to figma.
If you want to try it has a completely free tier for now at lovable.dev
Would love your thoughts on where this could go and what you'd want to build with it. And what it means for the future of software engineering..."},"title":{"fullyHighlighted":false,"matchLevel":"partial","matchedWords":["ai"],"value":"Show HN: An AI that reliably builds full-stack apps by preventing LLM mistakes"},"url":{"matchLevel":"none","matchedWords":[],"value":"https://lovable.dev"}},"_tags":["story","author_antonoo","story_42206666","show_hn"],"author":"antonoo","children":[42206718,42206734,42206789,42207101,42209181,42210643,42211620,42212125],"created_at":"2024-11-21T17:40:37Z","created_at_i":1732210837,"num_comments":13,"objectID":"42206666","points":32,"story_id":42206666,"story_text":"Hey HN! Previous CERN physicist turned hacker here.
We've developed a way to make AI coding actually work by systematically identifying and fixing places where LLMs typically fail in full-stack development. Today we're launching as Lovable (previously gptengineer.app) since it's such a big change.
The problem? AI writing code typically make small mistakes and then get stuck. Those who tried know the frustration. We fixed most of this by mapping out where LLMs fail in full-stack dev and engineering around those pitfalls with prompt chains.
Thanks to this, in all comparisons I found with: v0, replit, bolt etc we are actually winning, often by a wide margin.
What we have been working on since my last post (https://news.ycombinator.com/item?id=41380814):
> Handling larger codebases. We actually found that using small LLMs works much better than traditional RAG for this.
> Infra work to enable instant preview (it spins up dev environments quickly thanks to microVMs and idle pools of machines)
> A native integration with Supabase. This enables users to build full-stack apps (complete with auth, db, storage, edge functions) without leaving our editor.
Interesting project as an example:
https://likeable.lovable.app \u2013 a clone of our product, built with our AI. Looks like a perfect copy and works (click "edit with lovable" to get to a recursive editor...)
Going forward, we're shipping improvements weekly, focusing on making it faster, even more reliable and adding visual editing experience similar to figma.
If you want to try it has a completely free tier for now at lovable.dev
Would love your thoughts on where this could go and what you'd want to build with it. And what it means for the future of software engineering...","title":"Show HN: An AI that reliably builds full-stack apps by preventing LLM mistakes","updated_at":"2026-01-23T13:49:28Z","url":"https://lovable.dev"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"gorkemcetin"},"story_text":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["figma","make","ai"],"value":"Hi all, Gorkem here. I started VerifyWise [1] to make AI governance less painful. Today, we\u2019re launching our open-source platform to help teams take control of their AI compliance process.
VerifyWise helps organizations navigate AI governance by providing audit readiness, risk registers, model fairness checks, and compliance documentation. Those are all built into a single platform you can self-host.\nWe\u2019ve been quietly building VerifyWise for a while, and we\u2019re now at a place where it\u2019s ready for more teams to try.
Since we started, we've:
- Released our core platform on GitHub: https://github.com/bluewave-labs/verifywise \n- Added workflows for EU AI Act and ISO 42001 with exportable audit trails\n- Built a bias & fairness module with Fairlearn integration\n- Developed a training registry for tracking internal AI literacy\n- Shipped risk register and vendors/vendor risks module\n- Opened our Figma for design contributions
We\u2019re aiming for full transparency and community-led development.
If you're building with AI and feeling the pressure of upcoming regulations, we\u2019d love to hear your feedback.
[1] GitHub: https://github.com/bluewave-labs/verifywise\n[2] Features: https://verifywise.ai\n[3] Documentation: https://docs.verifywise.ai"},"title":{"fullyHighlighted":false,"matchLevel":"partial","matchedWords":["ai"],"value":"Show HN: VerifyWise, an open-source governance platform for AI compliance"},"url":{"fullyHighlighted":false,"matchLevel":"partial","matchedWords":["ai"],"value":"https://verifywise.ai/"}},"_tags":["story","author_gorkemcetin","story_44311895","show_hn"],"author":"gorkemcetin","created_at":"2025-06-18T17:47:44Z","created_at_i":1750268864,"num_comments":0,"objectID":"44311895","points":5,"story_id":44311895,"story_text":"Hi all, Gorkem here. I started VerifyWise [1] to make AI governance less painful. Today, we\u2019re launching our open-source platform to help teams take control of their AI compliance process.
VerifyWise helps organizations navigate AI governance by providing audit readiness, risk registers, model fairness checks, and compliance documentation. Those are all built into a single platform you can self-host.\nWe\u2019ve been quietly building VerifyWise for a while, and we\u2019re now at a place where it\u2019s ready for more teams to try.
Since we started, we've:
- Released our core platform on GitHub: https://github.com/bluewave-labs/verifywise \n- Added workflows for EU AI Act and ISO 42001 with exportable audit trails\n- Built a bias & fairness module with Fairlearn integration\n- Developed a training registry for tracking internal AI literacy\n- Shipped risk register and vendors/vendor risks module\n- Opened our Figma for design contributions
We\u2019re aiming for full transparency and community-led development.
If you're building with AI and feeling the pressure of upcoming regulations, we\u2019d love to hear your feedback.
[1] GitHub: https://github.com/bluewave-labs/verifywise\n[2] Features: https://verifywise.ai\n[3] Documentation: https://docs.verifywise.ai","title":"Show HN: VerifyWise, an open-source governance platform for AI compliance","updated_at":"2025-06-20T04:48:49Z","url":"https://verifywise.ai/"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"englishcat"},"story_text":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["figma","make","ai"],"value":"I'm a backend engineer with almost zero design experience. I experimented with a \u201cDual AI\u201d workflow to brute-force a professional landing page.
What I built
A landing page for Lingoku (language learning extension): https://lingoku.ai/en/learn-japanese\n - The Hands (Figma Make): auto-generated raw UI drafts from my feature list.\n\n - The Brain (Gemini 3 Pro): I fed screenshots and asked it to act as a Senior Designer \u2014 critique colors, visual hierarchy, clarity, and trust signals.\n\n - The Loop: I applied Gemini\u2019s specific feedback in Figma and repeated \u2014 dozens of \u201croast & fix\u201d iterations.\n Be blunt \u2014 is this page actually professional? If not, what are the top 3 things you\u2019d change immediately?\n Also: can you suggest a step-by-step AI-assisted workflow I can follow to improve this (tools, prompts, and order of operations)?\n I'm a solo backend dev; I want a reproducible process I can run with AI + Figma.\n\n UX/performance tradeoffs are fine \u2014 prioritize visual clarity, trust, and conversion.\nWhat I built
A landing page for Lingoku (language learning extension): https://lingoku.ai/en/learn-japanese\n - The Hands (Figma Make): auto-generated raw UI drafts from my feature list.\n\n - The Brain (Gemini 3 Pro): I fed screenshots and asked it to act as a Senior Designer \u2014 critique colors, visual hierarchy, clarity, and trust signals.\n\n - The Loop: I applied Gemini\u2019s specific feedback in Figma and repeated \u2014 dozens of \u201croast & fix\u201d iterations.\n Be blunt \u2014 is this page actually professional? If not, what are the top 3 things you\u2019d change immediately?\n Also: can you suggest a step-by-step AI-assisted workflow I can follow to improve this (tools, prompts, and order of operations)?\n I'm a solo backend dev; I want a reproducible process I can run with AI + Figma.\n\n UX/performance tradeoffs are fine \u2014 prioritize visual clarity, trust, and conversion.\nUI/UX Engineer You\u2019re here to build interfaces that make AI video tools feel like an extension of a filmmaker\u2019s vision. At Deep Film Inc., you\u2019ll wield WebGL, React, and Flutter to craft intuitive, 4k/HD experiences across web, iOS, and Android, partnering closely with our AI engineers to integrate cutting edge models. You\u2019ll design in Figma, prototype with users, and iterate fast, driven by user feedback, to create platforms that redefine storytelling.
This is no ordinary role, expect complex challenges, daily white boarding, and rapid prototyping in a collaborative, dynamic team. Based in Berlin until Launch Q1 2026 (with remote options for the right fit), you\u2019ll join a collaborative, fast paced team with founding level equity, competitive salaries, and SOA hardware. Optional relocation opportunities to California will be available post launch.
Why You? \nYou\u2019re driven by complex challenges, passionate about deep learning, and excited by its potential to redefine the art of storytelling. Whether you\u2019re a seasoned expert or emerging talent, we want to see your impact: a GitHub repo showcasing production grade systems, optimized ML models, or a demo that leaves us speechless. For UI/UX candidates, share a portfolio of shipped apps or interfaces with stunning design.
How To Apply \nEmail a 3-sentence pitch explaining your passion for AI and storytelling, your standout achievements, and how you\u2019ll shape our platform, along with proof of work (GitHub, live demo, Figma prototype, or App Store link)
No resumes or cover letter fluff. Start today. We\u2019ll respond within 12 hours because the future moves fast, and so do we.\nLink up hello@deepfilm.ai"},"title":{"fullyHighlighted":false,"matchLevel":"partial","matchedWords":["ai"],"value":"Deep Film Inc. Back End/AI Engineer and UI/UX Engineer"}},"_tags":["story","author_CharlesRP","story_44659228","ask_hn"],"author":"CharlesRP","created_at":"2025-07-23T13:50:25Z","created_at_i":1753278625,"num_comments":0,"objectID":"44659228","points":3,"story_id":44659228,"story_text":"You\u2019re here to reshape the film industry with AI. At Deep Film Inc., you\u2019ll transform multimodal diffusion and transformer models into production ready systems, mastering quantization and pruning to make them leaner and faster. Your CI/CD pipelines and MLflow integrations won\u2019t just keep us running, they\u2019ll redefine storytelling. You\u2019ll scale training with GPU clusters using Horovod and Optuna and build robust data pipelines with Kafka, tf.data, or whatever it takes.
UI/UX Engineer You\u2019re here to build interfaces that make AI video tools feel like an extension of a filmmaker\u2019s vision. At Deep Film Inc., you\u2019ll wield WebGL, React, and Flutter to craft intuitive, 4k/HD experiences across web, iOS, and Android, partnering closely with our AI engineers to integrate cutting edge models. You\u2019ll design in Figma, prototype with users, and iterate fast, driven by user feedback, to create platforms that redefine storytelling.
This is no ordinary role, expect complex challenges, daily white boarding, and rapid prototyping in a collaborative, dynamic team. Based in Berlin until Launch Q1 2026 (with remote options for the right fit), you\u2019ll join a collaborative, fast paced team with founding level equity, competitive salaries, and SOA hardware. Optional relocation opportunities to California will be available post launch.
Why You? \nYou\u2019re driven by complex challenges, passionate about deep learning, and excited by its potential to redefine the art of storytelling. Whether you\u2019re a seasoned expert or emerging talent, we want to see your impact: a GitHub repo showcasing production grade systems, optimized ML models, or a demo that leaves us speechless. For UI/UX candidates, share a portfolio of shipped apps or interfaces with stunning design.
How To Apply \nEmail a 3-sentence pitch explaining your passion for AI and storytelling, your standout achievements, and how you\u2019ll shape our platform, along with proof of work (GitHub, live demo, Figma prototype, or App Store link)
No resumes or cover letter fluff. Start today. We\u2019ll respond within 12 hours because the future moves fast, and so do we.\nLink up hello@deepfilm.ai","title":"Deep Film Inc. Back End/AI Engineer and UI/UX Engineer","updated_at":"2025-07-23T19:30:16Z"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"hussfelt"},"story_text":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["figma","make","ai"],"value":"Over year ago, our engineering team ditched Scrum. Not because we read some contrarian blog post, but because we looked at our calendars and\nrealized we spent more time talking about work than doing it. Standups that ran long. Grooming sessions nobody prepared for. Retros that\nconcluded "we should have fewer meetings" and then we'd schedule a meeting to discuss that.
We tried going process-free. That lasted a few weeks before leadership started asking "when does this ship?" and nobody had an answer.
So we landed somewhere in the middle.\nIt's called Flights - and it's not new; someone tried it back in 2021: https://simonhoiberg.medium.com/...
The idea is dead simple: a project is a flight. It has a takeoff date, a landing date, and a captain who's responsible for getting it there.\nTasks are crates loaded onto the flight. Team members are crew. People doing maintenance between flights are ground mechanics.
That's it. No story points. No velocity charts. No burndown graphs that give everyone a false sense of confidence. A crate is done or it's not.\nThe flight lands on the date or it doesn't.
The thing that surprised us most was how well it communicated upward, sideways and to the rest of the organisation.\nWhen we told our CEO "sprint velocity dropped 15%," we'd get blank stares.\nWhen we said "this flight is hitting headwinds but still lands Friday," everyone in the room knew exactly what that meant.\nNo translation layer needed.
We started with sticky notes and a shared Figma file. It worked well enough that we built a proper tool around it - an airport-board-style dashboard\nwhere you see what's in the air, what's on the runway, and what's landed. Captains, crew, status - all visible at a glance.
We know the obvious reaction: "AI is writing all the code now, who needs project management?" Honestly, we've found the opposite. AI makes\nindividual developers faster, but it doesn't solve the coordination problem. If anything, teams ship more things in parallel now, and the need\nfor visibility into what's actually happening has gone up, not down. Your AI pair programmer doesn't know that another team's flight just went\ninto emergency and yours needs to adjust course.
We've been running it in production for over a year across multiple teams. It was also built as a human-AI\ncollaboration and experiment - Engineers working with Claude from first commit to production, including the database migrations, E2E tests, CI/CD.
Live demo: https://agile.flights\nHandbook (explains the methodology): https://agile.flights/docs
Happy to answer questions about the methodology and the tool."},"title":{"matchLevel":"none","matchedWords":[],"value":"Show HN: Agile died in a Jira board \u2013 we replaced sprints with flights"}},"_tags":["story","author_hussfelt","story_47247408","show_hn"],"author":"hussfelt","children":[47294286],"created_at":"2026-03-04T13:53:16Z","created_at_i":1772632396,"num_comments":0,"objectID":"47247408","points":2,"story_id":47247408,"story_text":"Over year ago, our engineering team ditched Scrum. Not because we read some contrarian blog post, but because we looked at our calendars and\nrealized we spent more time talking about work than doing it. Standups that ran long. Grooming sessions nobody prepared for. Retros that\nconcluded "we should have fewer meetings" and then we'd schedule a meeting to discuss that.
We tried going process-free. That lasted a few weeks before leadership started asking "when does this ship?" and nobody had an answer.
So we landed somewhere in the middle.\nIt's called Flights - and it's not new; someone tried it back in 2021: https://simonhoiberg.medium.com/...
The idea is dead simple: a project is a flight. It has a takeoff date, a landing date, and a captain who's responsible for getting it there.\nTasks are crates loaded onto the flight. Team members are crew. People doing maintenance between flights are ground mechanics.
That's it. No story points. No velocity charts. No burndown graphs that give everyone a false sense of confidence. A crate is done or it's not.\nThe flight lands on the date or it doesn't.
The thing that surprised us most was how well it communicated upward, sideways and to the rest of the organisation.\nWhen we told our CEO "sprint velocity dropped 15%," we'd get blank stares.\nWhen we said "this flight is hitting headwinds but still lands Friday," everyone in the room knew exactly what that meant.\nNo translation layer needed.
We started with sticky notes and a shared Figma file. It worked well enough that we built a proper tool around it - an airport-board-style dashboard\nwhere you see what's in the air, what's on the runway, and what's landed. Captains, crew, status - all visible at a glance.
We know the obvious reaction: "AI is writing all the code now, who needs project management?" Honestly, we've found the opposite. AI makes\nindividual developers faster, but it doesn't solve the coordination problem. If anything, teams ship more things in parallel now, and the need\nfor visibility into what's actually happening has gone up, not down. Your AI pair programmer doesn't know that another team's flight just went\ninto emergency and yours needs to adjust course.
We've been running it in production for over a year across multiple teams. It was also built as a human-AI\ncollaboration and experiment - Engineers working with Claude from first commit to production, including the database migrations, E2E tests, CI/CD.
Live demo: https://agile.flights\nHandbook (explains the methodology): https://agile.flights/docs
Happy to answer questions about the methodology and the tool.","title":"Show HN: Agile died in a Jira board \u2013 we replaced sprints with flights","updated_at":"2026-03-08T20:27:38Z"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"CharlesRP"},"story_text":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["figma","make","ai"],"value":"You\u2019re here to reshape the film industry with AI. At Deep Film Inc., you\u2019ll transform multimodal diffusion and transformer models into production-ready systems, mastering quantization and pruning to make them leaner and faster. Your CI/CD pipelines and MLflow integrations won\u2019t just keep us running, they\u2019ll redefine storytelling. You\u2019ll scale training with GPU clusters using Horovod and Optuna and build robust data pipelines with Kafka, tf.data, or whatever it takes.
UI/UX Engineer\nYou\u2019re here to build interfaces that make AI video tools feel like an extension of a filmmaker\u2019s vision. At Deep Film Inc., you\u2019ll wield WebGL, React, and Flutter to craft intuitive, 4k/HD experiences across web, iOS, and Android, partnering closely with our AI engineers to integrate cutting edge models. You\u2019ll design in Figma, prototype with users, and iterate fast, driven by user feedback, to create platforms that redefine storytelling.
This is no ordinary role, expect complex challenges, daily white boarding, and rapid prototyping in a collaborative, dynamic team. Based in Berlin until Launch Q1 2026 (with remote options for the right fit), you\u2019ll join a collaborative, fast paced team with founding-level equity, competitive salaries, and SOA hardware. Optional relocation opportunities to California will be available post launch.
Why You?\nYou\u2019re driven by complex challenges, passionate about deep learning, and excited by its potential to redefine the art of storytelling. Whether you\u2019re a seasoned expert or emerging talent, we want to see your impact: a GitHub repo showcasing production grade systems, optimized ML models, or a demo that leaves us speechless. For UI/UX candidates, share a portfolio of shipped apps or interfaces with stunning design and measurable results.
How To Apply\nEmail a 3-sentence pitch explaining your passion for AI and storytelling, your standout achievements, and how you\u2019ll shape our platform, along with proof of work (GitHub, live demo, Figma prototype, or App Store link)
No resumes or cover letter fluff. Start today. We\u2019ll respond within 12 hours because the future moves fast, and so do we.
Link up hello@deepfilm.ai"},"title":{"fullyHighlighted":false,"matchLevel":"partial","matchedWords":["ai"],"value":"Deep Film Inc. Back End/AI Engineer and UI/UX Engineer"}},"_tags":["story","author_CharlesRP","story_44632619","ask_hn"],"author":"CharlesRP","created_at":"2025-07-21T07:29:26Z","created_at_i":1753082966,"num_comments":0,"objectID":"44632619","points":2,"story_id":44632619,"story_text":"You\u2019re here to reshape the film industry with AI. At Deep Film Inc., you\u2019ll transform multimodal diffusion and transformer models into production-ready systems, mastering quantization and pruning to make them leaner and faster. Your CI/CD pipelines and MLflow integrations won\u2019t just keep us running, they\u2019ll redefine storytelling. You\u2019ll scale training with GPU clusters using Horovod and Optuna and build robust data pipelines with Kafka, tf.data, or whatever it takes.
UI/UX Engineer\nYou\u2019re here to build interfaces that make AI video tools feel like an extension of a filmmaker\u2019s vision. At Deep Film Inc., you\u2019ll wield WebGL, React, and Flutter to craft intuitive, 4k/HD experiences across web, iOS, and Android, partnering closely with our AI engineers to integrate cutting edge models. You\u2019ll design in Figma, prototype with users, and iterate fast, driven by user feedback, to create platforms that redefine storytelling.
This is no ordinary role, expect complex challenges, daily white boarding, and rapid prototyping in a collaborative, dynamic team. Based in Berlin until Launch Q1 2026 (with remote options for the right fit), you\u2019ll join a collaborative, fast paced team with founding-level equity, competitive salaries, and SOA hardware. Optional relocation opportunities to California will be available post launch.
Why You?\nYou\u2019re driven by complex challenges, passionate about deep learning, and excited by its potential to redefine the art of storytelling. Whether you\u2019re a seasoned expert or emerging talent, we want to see your impact: a GitHub repo showcasing production grade systems, optimized ML models, or a demo that leaves us speechless. For UI/UX candidates, share a portfolio of shipped apps or interfaces with stunning design and measurable results.
How To Apply\nEmail a 3-sentence pitch explaining your passion for AI and storytelling, your standout achievements, and how you\u2019ll shape our platform, along with proof of work (GitHub, live demo, Figma prototype, or App Store link)
No resumes or cover letter fluff. Start today. We\u2019ll respond within 12 hours because the future moves fast, and so do we.
Link up hello@deepfilm.ai","title":"Deep Film Inc. Back End/AI Engineer and UI/UX Engineer","updated_at":"2025-07-22T21:34:35Z"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"aturok"},"story_text":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["figma","make","ai"],"value":"Hi
Having to create websites and apps for customers from time to time I wanted a tool that would simplify the task of deciding upon the design of the future product. The whole design process is definitely complex and is totally about little details, but there is always a larger framework from which you start - at least, base colors, fonts and general layout.
Some thinking got me to the idea that it is possible to make an aide for the process of defining this framework. The tool could offer different options for review and let the user pick something that they like from these. Here's my first attempt to implement that:
https://baesline.design
(Apologies in advance - the thing is totally mobile un-friendly at this point)
Currently the thing is definitely very naive, often produces awful stuff, but I have found that if you play with it for a while, it is possible to arrive at something meaningful, which actually can serve as a legit starting point for the final design.
Currently all the "playing" that you can do with the buttons at the top (or hotkeys) is:
- change the theme to something completely different\n- keep the logic of the theme, but remix the colors using the same palette (We use several dozen predefined palettes of 3-5 colors each)\n- keep the colors, but change everything else
The first one is where you start, the second two allow for some fine-tuning when you feel that you're onto something.
As I said, this is where it starts. Some things that I would like to do to make it workable are:
- add an "app mode", that would allow to generate and browse designs that are more suitable for web-applications that involve more complicated data presentation devices and more input\n- change and improve the generation process. The original idea was that the thing should offer a number of options first, letting you pick whichever you like most and than fine-tune the result based on those that you liked - also by letting you compare and pick from different options\n- allow saving themes for future reference\n- create some kind of reasonable exports - ideally into a Figma draft, but also maybe into html+css template or other forms.
But before jumping there I wanted to know whether all this sounds crazy or does it seem that with some improvement it can become usable and useful?"},"title":{"matchLevel":"none","matchedWords":[],"value":"Generating a starting point for a website/app design automatically"}},"_tags":["story","author_aturok","story_28832805","ask_hn"],"author":"aturok","created_at":"2021-10-11T20:41:52Z","created_at_i":1633984912,"num_comments":0,"objectID":"28832805","points":1,"story_id":28832805,"story_text":"Hi
Having to create websites and apps for customers from time to time I wanted a tool that would simplify the task of deciding upon the design of the future product. The whole design process is definitely complex and is totally about little details, but there is always a larger framework from which you start - at least, base colors, fonts and general layout.
Some thinking got me to the idea that it is possible to make an aide for the process of defining this framework. The tool could offer different options for review and let the user pick something that they like from these. Here's my first attempt to implement that:
https://baesline.design
(Apologies in advance - the thing is totally mobile un-friendly at this point)
Currently the thing is definitely very naive, often produces awful stuff, but I have found that if you play with it for a while, it is possible to arrive at something meaningful, which actually can serve as a legit starting point for the final design.
Currently all the "playing" that you can do with the buttons at the top (or hotkeys) is:
- change the theme to something completely different\n- keep the logic of the theme, but remix the colors using the same palette (We use several dozen predefined palettes of 3-5 colors each)\n- keep the colors, but change everything else
The first one is where you start, the second two allow for some fine-tuning when you feel that you're onto something.
As I said, this is where it starts. Some things that I would like to do to make it workable are:
- add an "app mode", that would allow to generate and browse designs that are more suitable for web-applications that involve more complicated data presentation devices and more input\n- change and improve the generation process. The original idea was that the thing should offer a number of options first, letting you pick whichever you like most and than fine-tune the result based on those that you liked - also by letting you compare and pick from different options\n- allow saving themes for future reference\n- create some kind of reasonable exports - ideally into a Figma draft, but also maybe into html+css template or other forms.
But before jumping there I wanted to know whether all this sounds crazy or does it seem that with some improvement it can become usable and useful?","title":"Generating a starting point for a website/app design automatically","updated_at":"2024-09-20T09:35:38Z"}],"hitsPerPage":20,"nbHits":383,"nbPages":20,"page":0,"params":"query=Figma+Make+AI&advancedSyntax=true&analyticsTags=backend","processingTimeMS":15,"processingTimingsMS":{"_request":{"queue":1,"roundTrip":21},"afterFetch":{"format":{"highlighting":1,"total":2}},"fetch":{"query":6,"scanning":6,"total":14},"total":15},"query":"Figma Make AI","serverTimeMS":18}