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Decentralized Food Delivery or Grocery Delivery Platform

Hacker News

Decentralized Food Delivery or Grocery Delivery Platform

Dear Friends, Website : https://nearbyshops.org Github : https://github.com/NearbyShops We are releasing first of its kind decentralized hyperlocal shopping platform. Which can by used for food or grocery delivery or any other hyperlocal business. You must have heard of Mastodon (https://github.com/tootsuite/mastodon) a decentralized alternative to Twitter. Similarly Nearby Shops is a decentralized alternative to commercial e-commerce platforms. This decentralized technology has a great potential to enable collaberation and help small business compete with large corporations. Please checkout our website and github repository ! If you like this technology please participate and share this project with as many people as you can.

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Actual performance

6points
2comments
Did not reach leaderboard

Launch Intel predictions

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Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
62%62% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoStrong fit for a featured deal · Strong signals: platform · Missing: plus, intuitive, reviews
52%52% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
41%41% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
34%34% 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
30%30% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · 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
3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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