Productivity1 month ago
Prodigent
Document product decisions and reasoning in one shared layer for team collaboration.
@TimEngng · X
Stop losing the "why" behind product decisions -
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Document product decisions and reasoning in one shared layer for team collaboration.
@TimEngng · X
Stop losing the "why" behind product decisions -
Analyze Reddit and GitHub discussions to generate customer insights for product decisions.
@Tweet2Tusharr · X
hey everyone 👋 we've been working on something over the last few weeks around customer research. we'd genuinely love if you could spend 5 minutes trying it and tell us what we're getting wrong.
Validate product ideas against public user discussions to decide whether to build, narrow scope, or pivot.
@_sunbo · X
I built ProductIdeaScout to help founders validate product ideas before they start building:
Discover and validate AI product opportunities using customer pain points, competitive signals, and market data.
vinitk80555 · HN
AI Product Opportunity
Claim a spot on the map and your product sits there, until someone outbids you for it.
@theeasyway6 · X
Why be #100 on Outbid when your product can claim a front-row spot on Flaghold? Limited space. Maximum visibility. 🚩
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
Describe your product idea and get a production-ready backend, frontend, mobile app, and DevOps setup.
@Musa1113097 · X
Every great project starts with an idea. The hard part was always turning it into reality. Now it doesn't take a team, or months. Build the project you want, in minutes. Backend. Frontend. Mobile. Deployed. Ready.
Work through complex choices with AI to clarify trade-offs and get structured recommendations.
@arunkumarkundra · X
I vibe coded this app: My experience has been mixed. It is an iterative process, and you need to push back. But over time, I have seen Claude get better. If not for AI, I couldn't have developed the app in the first place, so I am thankful 🙂
Find winning dropshipping products using Google Trends, Amazon demand, and supplier insights.
@QuvirlX · X
Hey! 👋 I'm building Quvirl — a SaaS that helps dropshippers find winning products using Google Trends, Amazon demand, and supplier insights. Still improving it every week. Feedback is always welcome! 🔗
Product leaderboards decided by an adversarial AI jury. Every rank is taken from the product that held it, in a trial with graded evidence and published reasoning.
@oleks_i · X
Deciding is the part you can’t delegate. Capture from anywhere, including inside your assistant, and keep one list on web, Windows, Mac, and iPhone.
u/Mean-Papaya3532 · Reddit
Done Bear - a local-first task manager with MCP, an API and a CLI Done Bear is a task manager with the five GTD lists, Inbox through Someday, and not much else. https://donebear.com Your AI assistant can use it. A hosted MCP server lets Claude or ChatGPT read your tasks, add them and tick them off, with your permission and nothing running locally. There's a GraphQL API and a CLI too, if you'd rather script it. It runs on the web, Mac, Windows, Linux and iPhone. Tasks live on your device
Vote on product features and see the public roadmap.
u/kaneki0dd · Reddit
Built SignalBoard a $15/mo Canny alternative for feature voting & roadmaps Been building this because Canny charges $79/mo for something that should be simple: let users vote on features, show a public roadmap, ship a changelog. https://preview.redd.it/h2x588h0n8dh1.png?width=1200&format=png&auto=webp&s=c5a4e15c59008ee67b495b7c35e1350d314e257b What it does: Feature voting — verify once, vote with one click after that AI duplicate detection — catches near-identical