@afifarioss · X

AI agent layer for Farcaster. Human approves every cast. 🟦 onchain attribution. Now Solo no team. Phase 2+ needs hands.Repo: Live: Need grants / team / funding. MIT. Fork it or fund it. 🟦

@k_mansourizadeh · X

Curious to learn more, building

@chaibytesai · X

fenilsuchak · HN

OpenBenchmarks – Helping agents discover and pick the right SaaS APIs

@AmyVaradkar · X

It solves the scattered testimonial problem. Freelancers and agencies collect feedback via shareable form, display it anywhere, get real analytics on what converts. Beta access available right now which gives free pro plan for 15 days.

@theshaunak_twit · X

jameshuang23 · Product Hunt

OpenProduct All in one AI product tracer.

@PaytreeSass · X

u/JustinMoose · Reddit

I built an app that flags when commission earners get underpaid, unpaid, or clawed back I sell insurance for a living, and a while back I realized I had no real way to know whether the carriers actually paid me correctly. You bind a policy, and 30-60 days later some commission shows up on a statement, and you just kind of trust the number. Across hundreds of policies and a few carriers, that's impossible to track in your head. So I built PayoutVerify. You log what you sold and what you expe

u/dayngerous78 · Reddit

Sharing my side project - Real Estate Commission Planner Highly doubt anyone here would have use for this specific niche app but this is for sharing side projects so decided to share mine to other builders. The stack is pretty simple with tailwind, nextjs, supabase with google auth. My wife is a real estate agent and the tough part are keeping up with GCI vs net, taxes, expenses and even year over year stats. This handles it all. A lot of brokerages have software to use for th

@VertCodeEU · X