Launch Intel
Cookbook.Dev

Cookbook.Dev

Indie Hackers

Find, Deploy, Manage Smart Contracts on Cookbook Marketplace

Cookbook is intended to accelerate the pace of web3 innovation and reduce the cost to market for builders in the space. When prices are high, immediate revenue becomes the desired outcome, which prohibits innovation.

Visit productView on Indie HackersApr 1, 2022b2bcryptocurrencymarketplaces
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Actual performance

4followers
$21,500MRR/mo
Made the leaderboard

Launch Intel predictions

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BetaListSuited for BetaList early-adopters · Strong signals: web3, smart · Missing: chat, crypto, cryptocurrency
86%86% predicted probability of success on BetaList, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
76%76% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Hacker NewsStrong engagement from HN community · Strong signals: 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.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
29%29% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: revenue · Missing: arr, mrr, profit
20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: builder · Missing: plus, platform, intuitive
16%16% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Correct prediction on native model

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