PH热榜 | 2026-03-11

Thrilled to back @hanghuang and the InsForge team on their Product Hunt launch.

InsForge is an AI‑native backend built for agents.

This isn't “AI bolted on,” this is starting with agent experience, and building on that foundation.

The unlock is a semantic layer that agents can actually read and act on.

Agents introspect policies and provision resources, so you can ship full‑stack apps end‑to‑end.

This adds up to:

• Faster setup with npx. One install. Go build.

• Agents working inside your IDEs (Cursor, Claude, etc.). No new UI to learn.

• Benchmarked performance demonstrates higher accuracy, greater token efficiency, and lower latency.

If you’re exploring agentic development—or migrating off legacy backends—InsForge is the platform that gives your agents the infra they need to tackle the heavy lifting.

Get started now:

npx @insforge/cli create

Hey product hunt! @tonychang430 here, co-founder of InsForge.

Before starting InsForge, I was working at Databricks on the networking infrastructure team. One of the first projects I worked on was optimizing our cloud resources, and we ended up saving around $30K networking cost per month. It ended up just turning on private link to aws resources, which is a private link endpoint setup and a cloud configuration.

That experience taught me something important: just because something works doesn’t mean it’s scalable or designed the right way.

Over the past year, AI coding tools have gotten incredibly good at generating code. You can go from idea to prototype faster than ever. But shipping a real product still means dealing with databases, auth, storage, deployments, infrastructure, and a lot of configuration.

Most of these systems were designed for humans who understand every layer of the stack.

But agents don’t work that way.

We started asking a simple question:

What would a backend look like if it was designed for agents from day one?

That is why we built InsForge. It is a backend platform where agents can set up infrastructure, manage data, deploy applications, and operate everything end to end.

Humans are slower, make more mistakes, and usually need deep knowledge of every layer of the stack. Agents should be able to understand the system and get things done directly.

Our goal is simple.

Make agents the primary operators of software infrastructure.

Really excited to share this with the Product Hunt community. Happy to answer any questions and would love to hear what you think 🙏

Hey Product Hunt 👋 I’m @hanghuang, co-founder of InsForge.

Before starting InsForge, I was a Product Manager at Amazon and have always enjoyed building products and launching side projects to test new ideas.

InsForge is the backend built for agentic development — giving agents everything they need to ship fullstack apps, fast.

Most backend platforms are designed for human developers. But InsForge starts with agent experience.

Our platform (2.1K+ stars on GitHub) exposes backend primitives like databases, auth, storage, and functions through a semantic layer that agents understand, can reason about, and operate end to end:

With InsForge, your agent can:

• Set up everything needed to ship fullstack apps

• Launch and deploy your applications on a hosted or custom URL

• Build applications that are secure and scale

Building on InsForge is faster and more reliable — up to 14% more accurate, 1.4x faster, and 2.4x more token efficient than SupaBase — as demonstrated in our MCPMark v2 benchmark.

To get started, head to your terminal and enter:

npx @insforge/cli create

And use code INSFORGELW1 to get a month of InsForge Pro for $0.00!

👉 Got questions? Drop them below, or join our Discord.

We’re excited to share this with the Product Hunt community and can't wait to see what you build. Thanks for checking us out, and huge thanks to our hunter @chrismessina for hunting us🙏

The MCP integration is what sets InsForge apart. Instead of agents hallucinating API calls or guessing schema, they can actually fetch live backend context. That's a fundamentally smarter approach than just giving agents a README and hoping for the best.

Congrats on the launch! Would love to know how this integrates with tools like Cursor or Claude Code in real workflows

Open source AND hosted? Best of both worlds.

npx @insforge/cli create — that's it. That's the tweet.

Have a great launch! Good luck!

Awesome project! shared with our dev team :) putting everything in one place sounds like a fascinating approach.

Congrats on the launch! Following the roadmap closely.

Congrats on the launch team! Excited for the future of InsForge :) 🚀

The UI looks very clean. Curious how this performs with larger workflows.

The model gateway feature is underrated. Being able to route to different LLM providers through a single OpenAI-compatible API, with usage tracked per project, is exactly what teams building AI-native apps need.

So I've had the chance of trying out the remote MCP server from Minns Foods with Claude Code and also with Codex. The capability of just being able to very quickly build applications and also deploy them with a full-fledged database authentication is just wonderful. The developer experience is great, like a one-shot prompt; you can get your full stack up and ready. I feel that, when comparing it with being able to do more complex tasks as compared to the developer experience that you get with Supabase, I certainly feel that I've had much more success in being able to do things faster. The overall performance also feels a lot more snappier.

I'm glad that we have this capability with a really robust MCP server that has all of the built-in capabilities to automatically fetch stocks and then also just one-click deploy the app on ourselves. It has been pretty fun to work with.

the semantic layer approach is exactly right. agents shouldn't guess at infrastructure the same way they shouldn't guess at who the user is. been building the identity side of this problem - the agent knows what to build with insforge, but does it know who it's building for? the cold start for user context is the same problem you solved for infra.

Congrats on the launch @chrismessina & @tonychang430! Building a backend specifically for the Agentic Era is a great vision. Can't wait to see how this evolves. Upvoted!

The agentic backend is here. No more excuses for not shipping.

I tried it for few builds, solid product features!

Good product, looking forward to seeing where it goes.

This is exactly what the agentic dev ecosystem needed.

The pgvector support (mentioned in the docs) is a great addition for teams building RAG applications. Having vector search built into the same Postgres instance as your relational data simplifies a lot of architecture decisions.

My Cursor agent just deployed a full-stack app. I'm shook.

The semantic layer approach is really smart — having agents reason about backend primitives rather than just calling APIs changes the whole development model. The fact that it works inside existing IDEs like Cursor and Claude with no new UI to learn is a big plus. Congrats on the launch!

As someone who mostly dabbles in front-end and rarely backend, I'm always afraid I'll set up something wrong that causes a recursive loop and spikes my cloud or database cost somewhere. Are there ways that InsForge can also help with ensuring the code is cost-optimized as well?

Congrats on #1! The semantic layer approach is smart - agents that can reason about their own infrastructure instead of blind API calls is a big unlock. How are you handling auth scoping when multiple agents share the same backend? That's always been tricky in multi-agent setups.

Interesting direction.

AI can already generate a lot of frontend code, but backend setup is still where agents struggle.

Tools like this that make infrastructure "agent friendly" are going to become a big part of the AI dev stack.

Huge fan of the product and team! What’s the most non obvious usecase of cardboard you’ve seen in the wild?

Great product! How does it handle longer recordings like customer calls or screen recordings where the "good parts" are buried? Does it let you describe what you're looking for semantically, or is it more keyword-based?

awesome product guys

Awesome let's go guys - super bullish on Cardboard - think this might actually get the DaVinci users to move over

Very simple to use

that is wild! Shared internally and can't wait to work with it :)

banger!

wow awesome product guys

That's a big promise. If it works as intended, it would change everything for video editing. I bookmarked it to see how it goes in a few weeks. Best of luck to you :)

Cracked team, let’s go

The idea of describing an edit and having it execute is a huge unlock. Video editing has always been this weird paradox where you know exactly what you want but spend hours clicking through timelines to get there. Running in the browser and supporting live collaboration makes this really accessible too. Congrats on the launch and the YC backing!

One of my biggest challenges with AI editing software is that the clips end up feeling disjointed and lacks the "smooth" narrative that I'm going for. Are there ways to enter into a "plan" mode so that I can specify the style of video that I'm editing for?

I really appreciate the live collaboration feature weaved into this. Is there a comment-and-resolve flow on the timeline or is that on the roadmap?

This has good potential

amazing product i have come across in last couple of days amazing

Great product, very very useful for launch videos!!

This looks really exciting! I’ve been waiting years for a product like this, but with pricing starting at $60 a month, obviously this is aimed at businesses and not at individuals. I hope you are successful and there is some path towards launching a consumer product with a much lower price point. It would also be exciting if there was a local client, something that didn’t force customers to upload gigabytes of video footage. Not everyone has a fast pipe so this could be limiting in some scenarios.

This is awesome, its amazing to see how many functions people perform online are now totally turning out to be prompt and usage based.

Max video length it can handle at once?

"Cursor for video editing" and backed by YC. My video editor just started updating their resume. Upvoted. 🎬

Ishan is a wonderful person. For quite a long time, ever since we used to speak a lot about WebAssembly and we also met at JSConf India in 2023. He is a super, super talented person, and I'm just so glad to see him launch such an amazing product, which is live today now. Kudos to the team for building this and this overall user experience of having an authentic video editor and how that should look. This is the tool; so much thought and effort has gone into the UI/UX and just being able to create videos on the fly, having that chat-like prompt to be able to distribute the videos and have really, really slick, clean UI for doing editing on the fly. It's just massive, right, so proud of what they've been able to do and support this launch throughout.

the "describe the edit, it executes" framing is sharp. curious how the agent handles first-time users with no editing history - does it lean on the clarifying questions a lot early on? the cold start problem for understanding someone's aesthetic is one of the harder ones. congrats on the launch @saksham_aggarwal7

"Cursor for video editing" — okay you have my attention. As someone who uses Cursor daily for coding, the idea of an AI that actually understands what's in my footage and makes editing decisions for me sounds incredible. I've been wanting to make short demo videos for my apps but always gave up at the editing stage because it takes forever. If this can take raw screen recordings and turn them into polished product demos, I'm sold. Is that a use case you support, or is it more focused on podcast/talking-head content?

this looks incredibly exciting, congrats on the launch. does it resync the timeline if we change the music later? that’s honestly my biggest pain point in editing videos.

Video editing is the bottleneck for every YouTube creator I talk to. The ideas and scripting part can be fast, but then you spend 6 hours cutting and trimming. If this does for video what Cursor did for coding, I want to see it in action. How does it handle multicam or footage with a lot of cuts? That's usually where AI editors fall apart.

Congratulations on the launch, this looks super slick

Congratulations on the launch! I'd love to know if Cardboard can help me speed up my flow for fetching, cropping/editing videos from multiple sources (usually Youtube/Reddit/Instagram etc. ) to be then exported and sent out via Whatsapp etc.
I love cropping + making edits to videos to fit a certain hyperspecific context (think memes tailored to a group of < 15 people) and my current flow is a bit tedious: I have to download the video from its original source using third party applications, then edit it manually using either the Photos app or other third party applications if I have to make more complicated changes like adding text etc. Would love to know if Cardboard has any features in the pipeline that can help accelerate this end-to-end flow!

Is it safe? Because I was restricted by LinkedIn because of the 3rd party tools that "automate" my activity (tho I do not use them). But possibly it could trigger the restriction.

Do you have any guarantees that it won't trigger a ban?

Congrats on the launch team!

Congrats on the launch!

This is a cool idea! Social media is a constant grind, so having an AI that helps with replies and interactions feels very timely. Wondering how the AI learns and adapts to someone's writing style?

Will definitely give it a try..

Congrats on the launch!

Congrats on the launch, @djordjevic_nikola & @whoisrade!

To me, the Voice Signature and Story Bank approach is the only way to solve the AI-noise problem on LinkedIn right now. Upvoted for the vision of keeping the "Human in the loop!"

Congratulations on the launch 🎉 🎉 !

Great product! Congratulations on the launch. This will genuinely help solo entrepreneurs who need to handle everything on their own.

Very very cool. I built a similar tool for myself, but am very curious to see your angle. Could be brilliant for founder led growth.

Cheers!

@djordjevic_nikola The Chrome extension format is smart for LinkedIn, but Reddit has a notoriously allergic reaction to AI-polished content. Does this implement a

natural vibe that deliberately introduces casual phrasing, or even slight imperfections — to avoid the ‘this sounds like ChatGPT’ flag that gets downvoted fast on Reddit?

Sorry, I might have missed something, but does it directly interact with let's say LinkedIn, or it just analyses and creates content? ok, let's say it can mimic me and create content and comments, which don't sound like an AI slop, but can I simply run it on my LI profile?

I like how straightforward everything is—no confusion at all.

Building a B2B SaaS in public means showing up consistently on X and LinkedIn — but my bottleneck isn't the writing, it's always knowing where to show up and which conversations are worth my time. The "daily intelligence" feature that surfaces high-impact conversations across platforms is actually the most valuable part to me. How smart is the targeting? Can I tune it to only surface discussions relevant to a specific niche (e.g., accounting/fintech for US SMBs) without drowning in general startup content?

How does the tool learn your sentence patterns, vocabulary, and rhythm? Congrats on the launch, @djordjevic_nikola!

I just tried it out. I clicked Insert, but nothing happened. I think the generated content should be insertable into the comment box, right?

Hey, сongrats on the launch! How long does it usually take for Teract to learn your writing style?

do you find that the comments it drafts actually get engagement? do people still sense the AI tone even after proper context / training?

Is it safe for linkedin? will it not lead to ban?

Interesting use case. How do you circumnavigate the issue of AI tools being blocked by platforms?

the voice signature + story bank approach is exactly right. been building the same thing from a different direction - northr extracts identity from AI conversations so it's available the moment you open chatgpt or claude. teract from the social side, northr from the AI side. weirdly complementary. congrats on the launch rade.

Amazing stuff! Supported.

How do you plan to monetize ?

Hey, congrats on the launch! How does the fundamentals work? Usually I've heard automation tools trigger a ban or account restrictions. How does Teract guarantee that doesn't happen?

What unique method does Teract use to ensure its AI-generated comments and posts authentically reflect your personal voice rather than sounding generic?

Interesting concept. Helping people engage in important conversations in their own voice across multiple platforms sounds very useful. The voice signature and story bank idea is especially interesting. How does Teract make sure the generated comments still feel authentic and not overly AI-written?

Showing some love to fellow Serbian makers.

I used the first version on Linkedin and couldn’t wait for it to work on X too. Now I can trully be the “reply guy” 😁

I really dig the 'Voice Signature' approach-there’s too much generic AI slop on LinkedIn right now, so anything that keeps it feeling like a real human conversation is a win. I like it!
Looking forward to giving the Chrome extension a trt. Nice work! Keep it up!

How do you avoid getting shadowbanned on LI?

Really proud of what we shipped here.

For a year we watched the same three problems surface across 10,000+ developers building AI-generated interfaces: slow rendering, broken output, hard-to-integrate designs. We kept patching. The problems kept coming back.

Turns out they were all symptoms of the same root cause: the format we were using didn't fit how LLMs think.

So we built one that did. The results were immediate. 3x faster, 67% fewer tokens, dramatically more reliable.

Open source and free. Hope it helps.

One good update, here! Congrats on the launch, @pgd!

This is one of those "why didn't this exist sooner" ideas. I'm so tired of AI responses being giant walls of text when what I actually need is a table or a card. The fact that it works with GPT, Claude, and Google ADK with just 2 lines of code is really appealing — nobody wants to be locked into one model these days. One question: how does it handle streaming? Like if the AI is generating a chart in real-time, does it render progressively or wait for the full response? That'd be a dealbreaker for chat-style apps where latency matters.

great idea!

How does OpenUI handle the challenge of adapting to different UI design paradigms and aesthetic preferences between various AI model outputs, given that these can vary significantly?

MCP integration in 2 lines is a strong hook — the real friction in generative UI isn't rendering components, it's getting the LLM to emit the right structure reliably. We build LLM workflows for structured financial data and the jump from "returns JSON" to "returns interactive UI" is where most teams get stuck. Curious: how does C1 handle edge cases where the model's UI intent is ambiguous — do you fall back gracefully or does the developer define constraints upfront?

That is so cool! LLM visuals tend to be really frustrating. super curious to see how you resolved this. Shared with our marketing team :)

What types of LLMs and frameworks are currently supported by C1's 2-line integration, and how does it handle UI rendering consistency across different platforms?

An open standard for generative UI is exactly what the ecosystem needs. Having 10K+ developers already using this through Thesys gives it real momentum. Congrats on the launch!

Congrats on the launch Parikshit. Rethinking the structure behind generative UI instead of just patching the problems with JSON is a smart move, and the focus on speed and reliability is exciting to see. Looking forward to seeing how the community builds with OpenUI.

Hey Product Hunt, I'm Ritam, Co-founder of Knowlify!

The Problem:

Most people in 2026 don't read. Instead, they want to watch an engaging video explaining the content. The problem is that there is no scalable way for teams to create high-quality, highly engaging video content.

Most tools in this space follow one of two flawed approaches:

❌ Uncanny AI avatars – They feel robotic, stiff, and instantly disconnect the viewer from the material.

❌ Glorified slideshows – They simply slap text over generic stock footage, completely missing the mark on creativity and engagement.

From day 1, we set out to fix these issues. We built Knowlify with one vision: to make knowledge so engaging that once you click play, you're instantly hooked for the rest of the video.

How Knowlify is Different 🚀:

Knowlify is focused on maximizing content retention—helping your audience learn the most amount of material in the shortest amount of time. Instead of boring slides, we convert text, PDFs, and other docs into engaging, Kurzgesagt-style animated videos.

• Beautiful, educational animations – We turn dry text and documents into exciting, animated stories that actually communicate complex information in a fun way.
  

• Custom-trained AI models – We've trained our own planner and voiceover models on proprietary datasets to ensure the pacing, tone, and structure are perfect.

• Built for creativity – Most AI tools are terrible at being creative. We've built an agentic system that specifically thrives on creative video production, and it will only get better over time.

Who is this for?

Whether you're a content manager turning blog posts into engaging media, or a creator building instructional content to convey complex information, Knowlify makes it effortless. The possibilities are truly endless.

Here's an example tutorial to understand the website better!

Knowlify Tutorial

This solves a real pain point. I've tried turning written content into video with other tools and the results always felt like glorified slideshows. The Kurzgesagt-style animations are a much better approach for retention. How long does it take to generate a 3-5 minute explainer from a document?

Would it work with a ppt presentation and how well will it be able to tackle something specific where information is not largely available online or publicly?

Sounds quite interesting. I've experienced this problem myself, and as easy as Canva is to create content, it is hard to get started if you are not experienced. I will be testing it soon. Congrats on the launch!

The product works well, but it’s extremely pricey. My 30-second video used 1,200 credits, and generating a 5-minute YouTube video will cost $150. That’s not reasonable at this rate.

this is one of the greatest product i have ever seen on product hunt this month

Also I’m wondering how you approach pricing given that video generation can be pretty compute-heavy. Do you charge based on usage, or do you bundle it into subscription tiers?

Is Knowlify better at specific video styles or does it adapt well to anything? I find most vertical AI tools are great in some scenarios and in others they suck, if there's a style where Knowlify really shines, worth mentioning!

the kurzgesagt-style bet is the right call. the uncanny avatar problem has killed more ai video tools than anything else. curious how the pricing evolves - the $150/5min comment is the main objection you'll keep hearing. congrats on the launch ritam.

What's a Kurzgesagt-style? First time hearing it! What's the reason behind choosing this style? Congrats on the launch, @ritam_rana!

ok so basically AI creates animations and voiceover and puts them on top of each other? What tech do you use for voiceover?

Been looking for something like this, well done

Thid idea will work well with older teams that have a lot of information stuck on PDFs, and need a way to quickly make that content for marketing. I think of old traditional organizations such as governments, that want to communicate on their website what a certain application process looks like, or best practices.

The product idea is good, here is how the features worked for me:

- Voiceover: I uploaded a document on questions that you can ask to a designer when you start a project, and it gave me a voiceover about meal prepping.
- The storyboarding features worked really well. It simple enough to be able to just modify the prompt that creates the image, then change the colours if necessary. However, in a world that everything looks AI generated it could be nice to replace the image with something else the user already has saved. Could defeat the purpose, but that's a quick modification i think would be useful for my own process, so that I can customize outside of the platform then come back.
- Took about 20 minutes to make the video.

Lovely tool with a lot of potential for legacy boomer clients.

Truly the curse of society's shortening attention span. This feels like a really great idea to deploy for onboarding or explaining complex ideas. Given that AI has limitations when it comes to how much context can be retained, is there a maximize "size" that a PDF should be limited to when it comes to creating these explainer videos?

The example in the video looks solid, but I'm curious - how consistent is the quality across different art styles? Some tools nail one look and fall apart on everything else. Which styles work best right now and which ones are still rough?

Hi folks, congrats on the launch!

Your tool looks like it could fit nicely into my workflow. I regularly work with quarterly +100 pages data reports.

Does your system support analyzing documents of that size?

Gemini Embedding 2 is Google's first natively multimodal embedding model, designed to map text, images, video, audio, and documents into a single embedding space.

Most embedding pipelines today are fragmented... developers often need separate models and preprocessing steps (like audio transcription or image captioning) before generating embeddings. Gemini Embedding 2 simplifies this by handling multiple modalities directly and enabling multimodal retrieval, classification, and semantic search from one unified model.

Key features:

• Multimodal embeddings for text, images, video, audio, and PDFs

• Up to 8192 tokens for text, 6 images per request, 120s video, and 6-page PDFs

• Native audio embeddings without transcription

• Supports 100+ languages

• Interleaved multimodal inputs (e.g., text + image together)

• Flexible embedding dimensions with Matryoshka Representation Learning (3072 → 768)

Why this matters: Developers can build RAG systems, semantic search, sentiment analysis, clustering, and multimodal retrieval much more easily with a single embedding model that understands different media types together.

Who it’s for: AI developers, ML engineers, and teams building search, assistants, knowledge bases, and multimodal AI applications.

If you’re building the next generation of multimodal AI experiences, this is definitely worth exploring.

I hunt the latest and greatest launches in tech, SaaS and AI, follow to be notified → @rohanrecommends

A natively multimodal embedding model that maps text, images, video, and audio into the same space is a big deal. Most embedding approaches still treat modalities separately, which creates friction when you want to do cross-modal search or retrieval. This should make building multimodal RAG systems much more straightforward.

The native audio embeddings without transcription step is the part I want to test first. We log food via voice in FuelOS and always pre-transcribe before any semantic matching, which adds latency and a failure point. Does the audio embedding quality hold up for short, noisy clips (5-15 seconds) or is it optimized more for longer-form content?

Hey Product Hunt! 👋 Eric here.

We launched Firecrawl CLI, your agent’s complete web data toolkit.

Every developer building with agents eventually hits the same wall, reliable web data access.

Most tools break on JavaScript-heavy sites or dump entire pages into context, wasting tokens and slowing down reasoning.

Firecrawl CLI fixes that.

It gives agents a unified interface to:
- scrape pages into clean Markdown or JSON
- search and return complete results in one step
- browse interactive or gated pages through a cloud browser
- crawl and map entire sites for structured coverage

Firecrawl CLI uses a file-based approach for context management, so results are written to the filesystem and agents can use bash methods for efficient search and retrieval.

To install it, just run:
$ npx -y -cli@latest init --all --browser

Once installed, your agent knows how to get live web data whenever it needs it.

Real use cases:
- Enrich AI agents and knowledge bases with live, structured web data for more accurate reasoning and responses
- Power deep research workflows by collecting verifiable sources, documentation, and papers across the web
- Automate data and market intelligence gathering - tracking competitors, product updates, and industry trends in real time
- Capture information from dynamic or login-gated sites to access data hidden behind dashboards, forms, and authenticated workflows.

Works with all popular harnesses like Claude Code, Codex, and OpenCode.

You can try it now: https://docs.firecrawl.dev/sdks/cli

We’d love to hear what you build with it!

Reliable web data access is definitely one of the biggest pain points when building agents. The idea of returning clean structured data instead of dumping full pages into context makes a lot of sense. How does Firecrawl CLI handle sites that actively block scraping or frequently change their structure?

am planning to switch from stagehand to this after this launch amazing

Actively using Firecrawl via MCP and will be happy to try CLI! Thanks

Congrats on the Firecrawl CLI launch, @ericciarla! 91K stars is a testament to the reliability you've built. I like the "File-Based Approach" for context management. Essential tool for the 2026 stack.

the file-based approach for context management is such a smart design choice. been building agents that need web data and the biggest headache is always getting clean output without burning tokens on garbage html. curious how the cloud browser handles sites with heavy client-side rendering tho, like SPAs built on next.js or similar?

Awesome project! shared with our dev team :)

Having reliable web data extraction is one of those unglamorous but absolutely critical pieces for AI agents. The fact that most tools break on JS-heavy sites or waste tokens on full page dumps is a real pain point. A CLI that handles scraping, searching, and browsing in one place with clean output is exactly what the agent ecosystem needs. Nice work on the 6th launch!

Hey y'all! @veercumulus and I are super excited to launch this product showcasing our proprietary IonAttention Engine: https://cumulus.blog/ionattention

Now serving Kimi, Minimax, GLM, Qwen 3.5, Wan, and more! Also serving your finetunes :)

Wow this would actually be so useful to us. What do you actually use to make it so much cheaper?

Congrats team! Let's goooo!

OpenAI-compatible routing plus lower latency/cost is super compelling for multi‑modal apps. Shared with our dev team.

How does IonAttention's custom inference engine achieve half the market rate without compromising model quality or response accuracy?

Congratulations!!!

Looks promising. Is there a free plan?

Hey, congrats to your launch. I am wondering what are the main differences of IonRouter as opose to OpenRouter? Still learning about the model infrastructure, renting, deployment etc, so I hope this is not a silly question to ask!

This looks really cool! For someone that hasn't really worked in this space, can you "explain like I'm 5" and "explain like I'm 16"?

Hey Product Hunters 👋

I'm Maria, co-founder and CTO of Citable… and we're back for Launch #3 with our results!

Quick context: Citable helps founders and marketers show up inside AI engines like ChatGPT, Perplexity, and Gemini. Because search is shifting from ranking to reasoning, and most brands are still invisible in it.

The problem we keep hearing:

Have you searched your brand in ChatGPT and seen your competitors instead? You know you need to publish content, but you don't know what to post, where to post, or who to actually delegate it to.

What's new this launch, Service as Software:

We didn't just ship features. We shipped ourselves. You can now hire Citable as your fractional CMO or marketing associate who already knows GEO inside and out. No agency retainer. No hiring process. Just someone who shows up, knows what to do, and does it.

✅ Fractional GEO marketer — strategy + execution handled for you
✅ Content mapped to your buyer questions — blog posts, social snippets, Reddit comments
✅ Action Engine — tells you exactly what to post, where, and why
✅ Blog optimizer — drop any content in and we format it for AI citation

✅ YouTube to GEO content — turn your videos into citation-ready assets

✅ Competitor AI trend monitoring — know why they're getting cited and close the gap

A result we're proud of:

One founder went from 0% AI visibility to 8% across their core buyer questions in 45 days, and hit 500K+ awareness impact on Reddit.

Not ready to commit? Start with a $99 AI Audit.

You'll get your AI visibility score across ChatGPT, Perplexity, Gemini, and Grok, your competitor landscape, your visibility gaps, and a prioritized action plan. Delivered in 48 hours. Credits toward your first month if you move to a plan.

👉 Book a 30-min intro with us: https://cal.com/cole-leng-tp1zwk/30min
🌐 www.getcitable.com

We're also thrilled to be partnering with NoodleSeed on this launch! Where Citable gets your brand cited inside AI search results, NoodleSeed picks up from there — nurturing those leads directly inside AI conversations, capturing inquiries, answering FAQs, and letting customers browse your catalog without ever leaving ChatGPT. Together, it's a full AI GTM stack: get discovered, then convert.

If you're a founder trying to figure out AI search, we'd love your feedback, your roasts, and your toughest questions 🙏

Congratulations guys, It really looks super promising!

How can you actually keep track of the results to know if it's actually working?

Spent 20 years learning keyword research and link building. AI search launches. Now the meta is "write content that a language model would cite in a conversation." brb pivoting my entire content strategy. Upvoted out of self-preservation.

Aside from the new upgrade, just wanted to commend how pleasing your brand colors are in this preview. Congrats on the launch, @maria_gorskikh1!

Interesting, very many products push in that direction recently. What are you doing differently?

Interesting! I've worked with a few similar tools and they were very chaotic to say the least. Curious to see how you solved this. :) also shared with our GTM internally.

Love the direction — “tracking prompts is easy, uplift is hard” is exactly the pain. Curious how you normalize model drift when reporting weekly progress: fixed benchmark prompt sets with confidence bands, or re-sampling by intent clusters each week? That’s usually where teams over/under-react.

Seems like testing is going well. I got an error that there are too many requests.

Send me a DM when you guys are ready for another tester!

Congratulations, @clyp1108!

I know that moving the needle from SEO to Agentic Search is the biggest challenge for brands in 2026. The Persona Matters section is a huge differentiator. Love the Prescriptive Actions approach.

ChatGPT just got a powerful upgrade for learning math and science!

OpenAI is rolling out interactive visual explanations that turn abstract concepts into hands-on learning experiences.

Instead of just reading formulas, learners can now manipulate variables and instantly see how graphs, formulas, and relationships change in real time.

This tackles a big problem: many people struggle with math because concepts feel abstract. With these dynamic modules, ChatGPT helps users experiment with equations, explore relationships, and understand concepts more intuitively.

Starting with 70+ core topics like the Pythagorean theorem, PV=nRT, Coulomb’s law, exponential decay, and more, the experience makes learning far more interactive than traditional explanations.

Great for students, parents, and educators who want a more exploratory way to learn, teach, and understand math and science concepts.

The feature is rolling out globally to all logged-in @ChatGPT by OpenAI users starting today.

I hunt the latest and greatest launches in tech, SaaS and AI, follow to be notified → @rohanrecommends

How does Mindspace's natural language search handle ambiguous or vague queries when users can't remember specific details about saved content?

It's asking me to Sign in to base44.com - what's the connection? / Thanks

@gil_finkelstein2 If I build a mind, can I integrate it with other tools?

Would it be able to tackle multiple languages? Here I specifically mean the search option

The concept of saving things without needing to manually organize them sounds very appealing. Natural language search and mood-based browsing also feel like a more intuitive way to rediscover content later. How does Mindspase decide which tags or categories to assign when saving very different types of content?

I'm gonna used it today for my raspberry pi at home. Claude said it was the best option availabke!

Hi everyone!

TADA is one of the most interesting open-source voice releases I’ve seen in a while.

The big idea is simple but brilliant: it aligns text and audio one-to-one, so the model never has to juggle that huge mismatch between text tokens and acoustic frames. That single change unlocks the three things people actually care about in TTS: way better speed, much longer context, and basically zero content hallucinations.

Hume reports 5x faster generation than similar LLM-based systems, zero hallucinations across 1,000+ test samples, and it can fit roughly 700 seconds of audio in a 2,048-token context where other models tap out way earlier.

Releasing the 1B English and 3B multilingual models under an open-source license gives the community a massive new tool for building highly reliable voice agents — especially on the edge.

Congratulations on the launch guys, this definitely looks promising!

But does the 1:1 alignment still work well with expressive speech or emotional tones?

will be waiting for the gguf

How does Hume measure and validate whether its AI systems are genuinely improving human emotional well-being rather than simply optimizing for engagement or perceived satisfaction?

Oh this is solving a real pain point. I use Claude Code daily and the CLAUDE.md file situation gets messy fast, especially when you're juggling multiple features across different parts of the codebase. The background agent reviewing transcripts is a clever approach. Does it handle conflicting rules well? Like if one session teaches it something that contradicts a previous rule?

oh man this hits close. been building a desktop app with Claude Code for months and the CLAUDE.md staleness problem is probably our #1 source of wasted time. you write great instructions, they work for a week, then the codebase evolves and the agent starts doing weird things because the context is outdated.

we ended up with this whole system of CLAUDE.md + AGENTS.md + skills files and honestly keeping them in sync is like its own part-time job at this point.

curious about the "confusion pattern" detection — how does it figure out when Claude is confused vs when the instructions are just ambiguous? those feel like two different problems to me but maybe I'm wrong. also does it work with sub-agents / multi-agent setups or only single CLAUDE.md?

This is super cool and great for us as startup heavily using claude code. How does this compare to Claude's Memory Tool? https://platform.claude.com/docs/en/agents-and-tools/tool-use/memory-tool

This is a real problem. We've burned a lot of time manually updating claude.md files that drift out of sync with how the codebase actually works. Background agent approach makes a lot of sense. Checking this out!

This is exciting and feels right on time, I was running into issues with claude md just this morning. Looking forward to trying this out and congratulations to the CodeYam team on their launch!

Have been using CodeYam for weeks; the "confusion archaeology" is SPOT ON, and frankly these insights were great for my team as well as the agents.

the stale claude.md problem is real and you've nailed the fix for project context. what i keep running into is the other half of the cold start - claude doesn't know who the developer is either. role, preferences, how they like to work. codeyam handles what the codebase needs claude to know. been working on the human side of that same gap with northr identity. feels like these two would stack well.

Love the steerable specialist team idea—traceable reasoning is huge for real workflows. Shared with our dev team.

How does MorphMind ensure that knowledge and workflows learned by AI specialists in one project are accurately and safely transferred for reuse in different projects?

If you want the full story behind why we built MorphMind — including three real scenarios we tested on ourselves before launching — here's our launch essay: https://medium.com/@jie_87656/the-more-powerful-ai-gets-the-more-anxious-you-feel-thats-not-a-model-problem-f7e6f2ec3226

Really love this building your own multi- AI-agents platform. I tried the product to start a literature-based science research. It improves my efficiency immediately while having all the reference source accurate. I cannot wait to try its newly released version.

the SQLite memory layer with relevance decay is the right architecture. project context that fades naturally is much better than stale context that poisons the agent. the gap i keep seeing is the layer above - who the developer is doesn't persist anywhere either. working on that with northr identity. same problem, different stack.

The built-in cloud database is smart for getting prototypes out fast. But what happens if someone builds something real on this and then needs to migrate away? Can you export the data layer, or are you pretty much committed once you start building on Nativeline Cloud?

Whoa!! so I don't need supabase anymore...i can do it all in the app? that is significant. so now we've moved closer to shorter time to full stack production apps. that is a great benefit for business builders. Well done!!🎉🎉 I"m not sure I've seen this in the other app builders.

wow awesome product man!

I have been using @Nativeline and this is exactly something i was looking for to build mac apps, it's so simple to use, everything is straight forward and @kanepanderson is so helpful. He's hustling and completely bootstrapped this which is insane. Mad respect!

Hey Kane!

Congratulation on the launch,

I was wondering how does Nativeline handle debugging or fixing issues once the AI has generated the Swift code?

Hi Kane! Does it also help with passing apple store verification? It was always the part that was slowing me down. Is the Nativeline doing full submission to the store end to end, or I still have to fill it out myself and babysit it?

the "wrestling between tools" framing is exactly right kane. that context switching cost is real - and most of it is the same problem every time. chatgpt doesn't know what you're building, claude doesn't know who you are. been building northr identity to fix that specific gap. every session starts with full context. congrats on the launch.

Crazy how easy it is to build an entire app, backend, functions, database, everything, in one spot! It took one single sentence and boom, I had a database in Nativeline Cloud working. Amazing!!!

Very cool stuff! :) Looking forward to playing around with it.

Wow, this solves exactly the pain I've been feeling for years!

As someone who's tried every 'AI app builder' out there, I always ended up with half-baked React Native wrappers or fighting Expo + Firebase glue code for weeks. The moment I saw real native SwiftUI + multi-platform (iPhone/iPad/Mac) + built-in cloud backend with zero setup… I literally paused and said 'finally!' out loud. The frustration you described—losing momentum after building the UI only to spend days on auth/tables/APIs—is so real. Nativeline Cloud sounds like the missing piece that actually lets solo makers ship complete, production-ready apps fast.
Super excited to try this.

Really appreciate the focus on privacy and local storage. Nice to see productivity tools that don’t rely entirely on the cloud.

what a useful tool! do you have any plans to support images upload? I have some use cases where it could be extremely useful

congrats!

How does the iOS version of the app maintain consistent shortcut expansion across the entire operating system, and what specific accessibility or keyboard extension permissions are required to ensure it "works in every app" while keeping user data strictly on-device?

Big thanks for the launch lift, YC & @garrytan!

Hi Product Hunt!

We’re excited to introduce Chordio Workbench, a Claude Code product workspace that’s built for product managers and designers on enterprise teams.

The Problem

In an enterprise setup, product managers and designers are often locked out of prototyping on top of their existing product. Security requirements, large code base, and complex build setup get in the way of fast code-first exploration.

Enterprise product work also comes with more constraints. Regulatory compliance. Brand and UX standards. Legacy code. Cross-functional dependencies.

So the challenge is not only coming up with a surface-level prototype. It’s building one that works within product, business, and team constraints.

Solution

Chordio Workbench gives product managers and designers a Claude-assisted workflow for research, prototyping, review, and stakeholder communication, so teams can align faster.

The entire workflow runs on your local machine. It starts by cloning your product’s front end into a dedicated workbench repository and compiling it into code Claude Code can use. That lets teams prototype in minutes on top of their product without a heavy setup.

Chordio Workbench also brings product, business, and team context into the process, so Claude helps explore solutions while grounded in real constraints.

When the team gets to yes, they don't just have a spec or static mockup. They have a coded solution that is ready for integration, with less translation work between product, design, and engineering.

If you would like to try Chordio, please reach out at chordio.com and we'll get you up and running.

congrats! nice idea

Hi, congrats on the launch!

I tried multiple similar and I was always disappointed about the quality of generated screens.

What mechanisms do you use to maintain accuracy when Claude interacts with that codebase?

I really, really, really need some product that fulfill that promise!

Hi, I'm curious if I can use it to generate demo video for specific features. Prototypes are great, but sometimes what I need is just quick animation of how the proposed feature works. If you are already handling real assets from my codebase, it shouldn't be hard to combine it with skill of motion design, it would be amazing!

the "context into claude" framing is exactly right. chordio loads the product context. the gap i keep seeing is the layer above - claude also doesn't know the pm or designer using it. role, preferences, how they think about tradeoffs. been building northr identity for that piece. product context + human context together is a much better starting point. congrats on the launch ehud.

How does Chordio handle security and access control when cloning front-end code from complex enterprise environments with sensitive or proprietary data?

useful initiative, would be nice to be able to use it on the web version without having to download the app but I understand that there are limitations with that.

the 45-second context switch problem is real and annoying. the "stuck on a form field" use case is the one i'd lead with in marketing - it's the most universally relatable. curious whether you're seeing people use it more for quick lookups or longer analytical questions like contract review. congrats on the launch krunal.

This is a nice, simple idea. The “ask about anything on your screen” use case comes up a lot, and having it triggered by a hotkey directly on top of the current app feels pretty natural.

Keeping screenshots only in RAM is also a good call. A lot of people hesitate with screen tools because of privacy concerns. The real test will probably be how fast and accurate the responses feel in day-to-day use.

How does the app ensure screenshots are fully cleared from RAM after each query, and is there any independent verification of this privacy claim?

Interesting project. I've given up on voice notes for personal projects because it was just a pain to browse through all the files afterwards (vs text). I'll look into it

wow keep making more good products like these