Me

Metapost: decentralized Reddit-like website on the blockchain

Hacker News

Metapost: decentralized Reddit-like website on the blockchain

Hello HN! Recent events on Reddit have inspired me to resurrect a side project I've intermittently worked on for over a year: a 100% decentralized version of Reddit, running on the Algorand blockchain. If you're familiar with platforms like Reddit or Hacker News, Metapost will feel very familiar to you. The key difference is that all data is stored on the blockchain, rendering it resistant to censorship and ensuring it will remain available to everyone forever. Metapost also supports comments, upvotes, user-created and moderated boards, and it rewards users for interacting with the platform by distributing a token. More features like mobile support, threaded comments, image posts and better moderation tools are on the roadmap. While cryptocurrency is an excellent platform for DeFi, network like Algorand with fast and cheap transactions also makes it an excellent choice for other types of decentralized apps. Metapost is an experiment in what Web3 could enable in the future. I would be grateful if you could give it a try: https://metapost.io/ Please keep in mind that the website is still under active development. The user interface needs some polish, a lot of functionalities are yet to be added, and you may run into occasional bugs. Also open to any feedback! Here is the Twitter for updates: https://twitter.com/metapost_io

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3points
11comments
Did not reach leaderboard

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Indie HackersFits the IH revenue-focused audience · Strong signals: supports, created · Missing: reddit linkedin, podcasting, latex
93%93% 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.
Hacker NewsStrong engagement from HN community · Strong signals: hacker news, ide, io · Missing: https docs, excited, just released
78%78% 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, occasional, interface · Missing: plus, intuitive, reviews
64%64% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Strong signals: apps, user, new · Missing: mac, agents, macos
57%57% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: apps, users · Missing: mobile apps, ios, personal
41%41% 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
14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: web3, crypto, cryptocurrency · Missing: chat, make money, real time
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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