Pa
Pay-to-rank leaderboards for creators and products
Hacker NewsPay-to-rank leaderboards for creators and products
Hi guys. I just built two way ranking boards, one for creators and one for products. The mechanic isn't mine, outbid.lol did it for products first. I added a creators board and per-country rankings. Both boards just opened, so #1 is still up for grabs. Happy to support the mission? join the bid with as little as possible.
Share cardActual performance
2points
2comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting60%60% 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 HuntUnlikely to reach the leaderboard · Strong signals: open · Missing: mac, agents, macos34%34% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released26%26% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal22%22% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue20%20% 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, crypto2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
OutRip22%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
pay-to-rank, but you’re opening packs
Indie HackersTe
Terrafarm - pay farmers up-front for seasonal products35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Terrafarm - pay farmers up-front for seasonal products
Hacker News2
Daily Outbid17%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Pay to rank. Resets at midnight.
TrustMRRMarketingLe
Leaderbid – Pay to Rank Leaderboard32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Leaderbid – Pay to Rank Leaderboard
Hacker News3Au
Author Rank21%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Author Rank
Hacker News2getRanked49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Transparent pay-to-rank live board for digital products
Indie Hackers1$10/moadvertisingRankify31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Pay to rank #1 on a public leaderboard
Indie HackersTripzygo33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Creators influence travel. Now travel can pay creators back.
Indie Hackers1$10,000/moaiDo
Do or Pay62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Do or Pay
Hacker News2Pa
Pay less for your next acquisition62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Pay less for your next acquisition
Hacker News1