
Stoop
A collaborative, scorecard-driven housing decision app.
@VictorLepri · X
solution to organize house search, sharing with people to review and comment, rank and help make a structured decision. Tailored to NYC but works everywhere in USA
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A collaborative, scorecard-driven housing decision app.
@VictorLepri · X
solution to organize house search, sharing with people to review and comment, rank and help make a structured decision. Tailored to NYC but works everywhere in USA

RJ38 Capital builds institutional-grade quantitative trading systems — JUPITER and MARS — for professional derivatives traders on Bybit and Hyperliquid perpetuals. Decision intelli
@rj38io · X
A Quantitative Decision Intelligence for derivstives Traders #crypto #btc

Roll dice to randomly pick tasks from your to-do list and overcome decision fatigue.
@RealRandomTask · X
Stuck on bored tasks? Roll the dice.

Niched records why you chose a tool, watches the evidence behind it, and shows you when the original decision needs another look.
@niched_dev · X
Would lovw to get more feedback on

Document product decisions and reasoning in one shared layer for team collaboration.
@TimEngng · X
Stop losing the "why" behind product decisions -

Crunch the numbers before your next decision. From mortgages and tax to freight, markets, and country outlooks — OrangeCup has you covered.
@thesublimely · X

Bring decisions to a private panel of 5 AI advisors who debate live and reach a synthesized recommendation.
@yaseenvalji · X
built this in a couple hours with Claude Code on Fable 5 ultracode. any hard decision goes to a board of 5 AI advisors: they debate live, a Chair calls it, and it remembers the outcome. open source, on the Claude API. @AnthropicAI

One bundle. Three independent judges. Reproducible rankings.
@Imranmohsin18 · X
sites I’m working on: Please check out and give me feedback all are public showcasing my skills :D ( not selling anything atm )

Trace, replay, and verify AI agent decisions with signed audit trails.
u/Funky_Chicken_22 · Reddit
OSS to SaaS positioning problem: when the user persona and the buyer persona are completely disjoint Founder here. Sharing a positioning problem I think a lot of OSS-to-SaaS founders hit and don't talk about publicly. Context: I have been running an OSS project (world-model-mcp) with ~2,500 monthly PyPI installs. Two weeks ago I opened up the hosted companion, Etch, at etch.systems. Launched publicly on Product Hunt at 12:00 PDT yesterday. The positioning problem: OSS user persona: in

Evaluate business ideas by analyzing competitors, market demand, risks, and dependencies.
@strode44 · X
I built a tool that will show you that your startup project or business idea sucks. Free to use it.

Centralee gives independent work a center of gravity—connecting leads, agreements, delivery, invoices, and client context in one living system.
@sandilyapoorv · X
Challenge: make ₹1,000 before midnight. I’ll fix/build one tech thing tonight — website, landing page, bug, automation, API, deployment, etc. ₹1,000 flat. If I can’t do it, don’t pay. Work: • DM me.

Monitor a live AI trading agent's trades and reasoning in real time with full transparency.
u/Much-Section-7680 · Reddit
5 weeks live, 31 followers, 8 website clicks, 0 organic signups. I audited my own marketing today and it was brutal. I spent today auditing my own marketing instead of building, and the numbers were worse than I thought. Posting them because I read these threads for exactly this and almost nobody publishes the bad version. What I built: an LLM agent that runs your trading strategy on your own exchange account and keys. It wakes on a schedule and on price triggers, reasons in plain language,