I've been talking about VersionMe for a few days now. Time to actually show you what I've been building.

Screen 1: Your Mission for today

Instead of a checklist of habits, you get one clear mission. Designed around your current level not someone else's "perfect routine."

UX/UI designer by day. App founder by night.

I built Uplyft, a motivational messaging app for parents and families. No co-founder, no backend experience, no real plan. Just Claude and a birthday launch date in July.

Got rejected from a pitch competition in 24 hours this week. Walked away with a one-pager.

Check it out at app.uplyftlife.com. Honest feedback welcome.

We just launched TruthDeck on Product Hunt

AI-powered credibility scores for Indian startups know if the hype is real before you invest or join.

Use code PH2026 for a free month :

https://www.producthunt.com/prod...

Just launched WorkZo AI

I ve always felt interview prep tools were too scripted.

Real interviews are uncomfortable sometimes:

• recruiters interrupt you

• they challenge vague answers

• they lose trust when answers feel weak

• they ask follow-ups based on what you just said

I m building PartFinder a tool that helps manufacturers spot risky parts in their supply chain before they become a problem.

You can upload a BOM or parts list, and PartFinder looks at things like lead-time changes, supplier concentration, geography exposure, disruption events, and replacement difficulty. The goal is to show which parts are exposed, why they re risky, and what actions teams can take next like finding alternates, checking suppliers, or starting RFQs.

We re mainly focused on mid-market manufacturers that don t have huge procurement/risk teams and are often stuck using spreadsheets, supplier portals, ERP data, and tribal knowledge.

Would love feedback from anyone in manufacturing, procurement, hardware, or supply chain. Is this something your team deals with, or do you already manage this well enough manually?

Hey Product Hunt community

I'm Nolan, and today we're officially introducing AI Hive to this community.

What we built: An enterprise AI agent platform that lets you build, deploy, and run AI agents entirely within your own infrastructure no data ever leaves your network.

Why we built it:

AI tools generate ideas faster than anyone can sort them. I kept ending up with Slack threads, half-finished docs, and twelve tabs of "things to look into" - and no clear picture of what was actually shipping.

So I built agency-os. It turns Notion into a single board for working with AI:

• You talk through ideas with the agent. It pushes back, asks clarifying questions, and scopes the work into tasks and subtasks on the row.

• You approve before anything runs. Nothing dispatches autonomously - every execution is operator-gated.

• Agents pick up approved rows, work in parallel respecting dependencies, and close them with result links.

The board is the source of truth. The agent is just an executor.

Most engineering teams know they should be running agentic workflows. The demos look incredible. The speed is real.

But the first few production attempts often go sideways, not because the AI is bad, but because the governance layer wasn't there.

The AI Velocity Pod Starter Kit is everything we wish existed when we started: a framework distilled from 300+ shipped products, 38-day average delivery cycles, and a lot of painful lessons about what breaks when you give agents too much autonomy too fast.

What's included:
Sprint structure template (intent build QA diff review)
Acceptance criteria writing guide (the #1 bottleneck in agentic workflows)
Parallel QA agent setup run validation concurrently, not sequentially
Governance checklist for regulated industries (HIPAA, GDPR, OWASP-aligned)
Access scope matrix which systems agents should (and shouldn't) touch

I've seen a couple of influencer platforms around ecommerce, but very little or non exist for backing founders - closest is probably https://gigastar.io/. So I've been toying with an idea and finally built a rough version at kovant.club (bigger current concept at https://kovant.club/home).

The core concept is a closed club where founders get distribution without upfront cash, and influencers earn a royalty on the actual lifetime value of customers they refer for up to 2 years. If the startup wins, the influencer wins big. If not, they still get 1/10x of the delivered value. The key is an SDK that tracks every referral's LTV over time primarily scoped to 3 months (still working out the maths).

The signal is intentionally high: founders would need a 60%+ score on something like https://www.build-check.com by @german_merlo1 and must also be referred by an existing influencer/founder.

Would love to get your honest takes. Of course it doesn't work for all influencers/founders but I feel it will genuinely help a lot of founders who have real value to offer.
Two questions I have for PH founders:

Hey Product Hunt! I'm Awadeen, a tech entrepreneur from Egypt.

Most people with a business idea hit the same wall: they don't know how to model it, validate it, or figure out if it'll actually work. Not because they're not smart. Because business strategy has always been locked behind expensive consultants, exclusive incubators, and MBA programs most of us never attended.

So I built InnoCanvas. Your AI co-founder. (The kind that never asks for equity.)

You describe your idea. It builds your business model, validates your strategy across five dimensions, and connects you with four specialist AI advisors: marketing, finance, legal, and tech. Not a template. Not a chatbot. A thinking partner that knows your idea and helps you stress-test it.