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Interactive Guide to Cooperative Auctions

Hacker News

Interactive Guide to Cooperative Auctions

Hey HN, I made this guide to cooperative auctions. Cooperative auctions are a governance mechanism where the people that feel strongest get their choice but pay the group for the cost of excluding them. These payments rectify the unequal resource distribution, and give non-winners exactly enough to win their equal share of the resource in future auctions, if they choose to do so. Applications include splitting rent, dividing workplaces, and decision-making. This guide is part of a larger project, TinyLVT, which implements these auctions for real-world use. You can find the source for the guide and all of TinyLVT here: https://github.com/10log10/tinylvt . It’s all in Rust and based on jiff, sqlx, actix-web, yew, and many more awesome libraries.

Visit productView on Hacker NewsApr 22, 2026
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Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
51%51% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Strong signals: tiny · Missing: mac, agents, macos
46%46% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
46%46% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
30%30% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue
11%11% 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
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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