When I first started working on FounderMind AI, I assumed the hardest part would be building the AI.

I was wrong.

The hardest part has been designing a system that asks founders the right questions instead of giving instant answers.

Disclosure: I work with the LynavoDrive team.

We open-sourced the local core of a computer-first file tool, then wrote down the product boundary we kept seeing shortened in discussions:

- initial setup needs internet and the first connection happens on the same LAN;

- after setup, LAN file access can work without public internet;

Most tools cap you at 5000 10000 characters per generation. That's barely one YouTube intro.

We just generated a 50,000 character script a full long-form video essay into a single 44-minute MP3. One click. No manual splitting. No stitching. Just one seamless file.

Here's the demo: https://youtu.be/eN4skbO2cDY

We built VocalAI specifically for faceless creators and long-form content makers who keep hitting credit walls mid-project. Auto-Split breaks any length script into chunks, generates each one, and stitches them into one MP3 automatically.

Built for JEE/NEET coaching institutes in India.
The problem: by the time a student's test scores or attendance drop, the institute has already lost the weeks it needed to fix it before the exam. Grades and attendance are lagging signals, everyone acts on them too late.
What we built: students write on paper daily in class as normal, a smart pen captures that handwriting (pressure, speed, hesitation, correction patterns). The pattern shifts weeks before the grades do, so the institute's academic head gets an early flag while there's still time to intervene. Zero change to how students study or write.
We also built a companion layer: since every note is already digitized, students get an app where all their notes live in one place, and can chat with an AI that has full context of them, auto summaries, mind maps, flashcards, quizzes generated from their own material. Institute gets the early-warning dashboard. Student gets a study tool from notes they were writing anyway.
Would love feedback, especially on: - Does "6 weeks early" sound credible, or need more proof upfront?
Any failure mode we should be stress-testing (false positives, privacy, surveillance concerns)?
Link: www.notivo.in

We build Simplify, and before that we were the customer with the problem.

Our own consultancy, OneBonsai, ran on eight separate tools: HubSpot for CRM, invoicing in another tool, Notion for docs, BambooHR, a recruiting tool, an expense tool, a scheduling tool, and a Google Sheet for cash flow that one very tired person maintained by hand.

Every Friday, someone spent three and a half hours retyping the same numbers between four of those tools. Not because it was hard. Because the tools didn't share anything, so a person had to be the connection between them.

We moved our own 25-person team onto Simplify and wrote up what actually happened, including the parts that didn't improve. Migration took longer than our own homepage promises. We kept two of the old tools on purpose. Statutory accounting still sits with our accountant, that part doesn't change.

Hey everyone!

I'm Sainadh, founder of MeshaSec.

We built MeshaSec because most security scanners weren't designed for modern development teams. They either:

• Only scan public pages

• Require security expertise to use

• Ask you to upload sensitive application data to the cloud

Hi Product Hunt!

I m building Gold Dashboard, a research-first XAUUSD dashboard at TR-MATE.

AI can generate code fast, but teams still need to understand, review and trust what gets produced.

That is why we built Savyre AI Coding Workflow. It guides developers through a structured 14-stage process covering requirements, codebase discovery, implementation, testing, review and impact analysis.

Each validated stage becomes the input for the next, reducing repeated context and improving traceability.

We are looking for early users to try it inside VS Code or Cursor and share honest feedback.