An auction platform for failed and active startups

Hacker News

My co-founder and I have spent years building and launching side projects, most of which have failed. We've accumulated a graveyard of abandoned codebases, and one day we had the idea to sell one of them. The process sparked an idea: what if there was a marketplace specifically for digital projects at every stage of their life, from a simple idea to a profitable business? Today, we're launching just that—an online auction platform where founders can sell their projects. We're talking about everything from: Startup ideas (just a concept or landing page) MVPs and unfinished projects Failed startups Active projects Profitable businesses We're a two-person team just starting out, and we're currently trying to get our first 100 listings. We're facing the classic chicken-and-egg problem, and it's a grind. This isn't a polished, corporate product. We know it has a long way to go, but we wanted to get it out there to the HN community and get your honest feedback. We're not here to just sell something; we're here to solve a problem we've personally experienced. We'd appreciate any thoughts on the platform itself, or any ideas on how we can reach more founders who might be interested in listing their project. Thank you for your time.

Visit product View on Hacker NewsAug 28, 2025

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

94%94% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: code · Missing: mac, agents, macos

72%72% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

45%45% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews

39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: personal, way, profitable · Missing: mobile apps, ios, entrepreneurs

22%22% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: profit, profitable, active · Missing: arr, mrr, revenue

21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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