Two people told me the same feature surprised them.
Two people told me the same feature surprised them. So I'm rebuilding it around that instead of guessing.

Quick update on FounderMind AI. Since the last launch thread, two separate people mentioned the same thing without prompting: the competitor-analysis lens surfaced something they hadn't actually found on their own one person a niche competitor they'd missed, another said the pricing suggestions felt grounded in real market context rather than a generic template.
After 47 applications, the problem was never my CV. It was which jobs I picked.
Earlier this year I found myself job hunting again after 8+ years in product, most recently as a Product Owner in UK banking.
A job hunt gives you almost no feedback. You apply, nothing comes back, and you are left guessing whether the role was never a fit, the application was weak, or the ad was never real. With nothing to go on, everyone reaches for the same two moves: rewrite the CV, or apply to more jobs.
I did both, for months. Neither was the problem.
WorkstationAI is a workspace for running the whole hunt, and last week I shipped the part that closes the loop.
ShevtoneAudio Now Creates Music for You ā Generate Full MIDI Tracks with AI
ShevtoneAudio just got a huge upgrade.
You no longer need to start with an existing MIDI file. ShevtoneAudio can now create music from scratch.
Generate original music automatically
Create complete MIDI compositions
Turn ideas into cinematic arrangements
Great for cinematic, trailer, game & film music
Download the MIDI and continue editing in your favorite DAW
From a blank project to an editable MIDI composition in minutes.
Built Incognear to connect with people in your immediate surrounding
Whenever we move to a new place (college, internship, travel), the first few weeks feel weirdly lonely.
You don t know the people around you.
You don t know what s happening nearby.
And if you re introverted, randomly starting conversations isn t easy.
Rindler (YC S26) - Automate the web work your team does by hand
We're live and we'd love your feedback!
Rindler turns any website into something an agent can operate on reliably. It drives a real browser: signs in, handles the one time verification code, gets to the right screen, pulls the records or fills the form, and hands back structured output in the shape you asked for.
The part worth caring about is the second run. Most browser agents re-read and re-work out the same website on every single visit. Rindler remembers, so it gets faster and cheaper the more it is used. And when a site changes underneath us, that is ours to fix, not a ticket in your backlog.
If you build agents, it's just one endpoint you call instead of running browser infrastructure of your own. If you run a team, it is the manual and repetitive website work somebody on your staff is currently doing by hand.
My manager accidently became the reason I built a startupš
Too many tasks, couldn't find a planner I actually liked, so I built Kairo.
Would genuinely love if you gave it a try and let me know what you think. You get 7 days free, and if you're one of the first 10 users, use PHEARLY10 to get an extra month free :)
https://kairo.jaimansoni.com
We built WardenIQ to help QA teams find testing gaps faster
We re building @WardenIQ, a free and open-source testing intelligence platform designed specifically for QA teams.
Testing information is usually scattered across requirements, Jira tickets, Confluence pages, repositories, test cases, automation reports, and spreadsheets. This makes it difficult to quickly understand what changed, what needs to be tested, and where important gaps remain.
@WardenIQ brings these workflows into one place and helps teams:
Generate structured test cases with AI
Create test plans and manage test cycles
Analyze code changes from a QA perspective
Review manual and automation test coverage
Identify missing or under-tested areas
Build mind maps to understand features and testing flows visually
Reuse common testing steps through the Step Library
Connect Jira, Confluence, and repositories
Choose their preferred AI provider and model using BYOK
Run locally or on premises using Docker
Is YAML/HCL still the best way to write cloud infrastructure in 2026?
I built TellIaC because cloud architecture discussions always happen in plain English ("We need an AWS VPC with 2 subnets connected to an EC2 instance"), but converting that into code takes hours of writing complex YAML, HCL, or JSON boilerplate.
TellIaC solves this by letting you write cloud infrastructure as simple, natural English sentences.
What makes it unique: 1-Click Terraform Exporter (telliac export): Converts plain English into valid Terraform HCL anytime with zero vendor lock-in. FinOps Cost Estimator (telliac cost): Shows exact monthly spend breakdown in USD before deploying. Security Linter (telliac lint): Scans for open security groups and exposed secrets automatically. Standalone Binaries: Pre-compiled executables for Windows and Linux zero Python needed.
Live Browser Playground: https://telliac.pages.dev
Public Downloads: https://github.com/HARSHALJETHWA...
I would love to answer any questions and hear your feedback!
An intro about oneinfer-edge
We just shipped the first feature for oneinfer-edge and it's open source.
Ever copy a Hugging Face model ID, spend 2 hours setting things up, and then watch it fail because your VRAM was off by a few GB? Yeah. We've all been there.
oneinfer-edge now tells you if your machine can run any Hugging Face model before you deploy.
Paste a model ID, it scans your GPU, VRAM, OS, and serving libraries, gives you a Hardware Ready verdict and full memory breakdown (weights + KV cache + serving overhead).
No surprises at runtime.
Supports Apple Silicon (M1 to M5), NVIDIA (CUDA), AMD (ROCm), and serving libraries including Ollama, llama.cpp, SGLang, TensorRT-LLM, PyTorch and many more coming.
It tells you why something won't work, not just that it won't.
CPU support is something we're actively working through and feedback and contributions on that front are very welcome.
oneinfer-edge is part of the broader oneinfer.ai inference control plane, a platform built for teams shipping multimodal AI products at scale.
oneinfer-edge brings that same infrastructure intelligence to your local machine so self-hosting is a genuine alternative to managed cloud inference, not a debugging exercise.
We built this in the open because self-hosted AI infrastructure should belong to the community that runs it.
Star the repo: https://github.com/oneinfer/onei...
Report issues or request features: https://github.com/oneinfer/onei...
Learn more: https://oneinfer.ai/platform/one...
Drop us a star if this looks useful and PRs are wide open. We're just getting started.
Launching PostGod this Wednesday - I'm already hyped about it!
We're launching PostGod soon, and I can't wait to see the reactions. It's also my first time launching on Product Hunt, which could also contribute to the nervousness. Exciting!
What is PostGod?
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A LinkedIn post generator that sounds like you, not like everyone's ChatGPT-generated content. The difference is in the process!
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We ask you questions about your expertise, voice, and audience (the same thing ghostwriters do for ), then use those answers to create your unique profile (content pillars, tone of voice).
Plus, we added a few more features to help you create a personal brand that works in your favour and helps you be visible on LinkedIn!
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