Show HN - TweetPedia: read the most informative posts from X (Twitter)

Hacker News

During the last month I have been working on how I could improve social network (know as Twitter in the past), so I come with the idea of "separate the wheat from the chaff". has a lot of posts everyday, but probably 80% of them are irrelevant and don't contribute anything. Thus, I wanted to publish a site where people can contribute adding their favorite tweets on interesting topics like science, sports, art, nature... What can you do on this site? - Explore tweets about different topics. - Filter the tweets by categories, the language they have been written, if they have an image or a video, if they are part of a thread... - Login via login and then add new tweets to share with the community or filter your added tweets. If you want to visit the site, take in account that you have to be logged in in order to see the tweets, because Elon removed the possibility of see tweets without login (you can sign in the official page and then go to my site). If you don't have an X account you can't see the posts. In a near future I want to add more functionalities, like giving to the logged users the possibility to create lists to save the tweets.

Visit product View on Hacker NewsDec 27, 2023

Share card

Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

Indie HackersFits the IH revenue-focused audience · Strong signals: para · Missing: supports, reddit linkedin, podcasting

55%55% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

54%54% 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: user, new · Missing: mac, agents, macos

41%41% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: video, month, users · Missing: mobile apps, ios, personal

38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive

36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

21%21% 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Twitter Bot Posts Top HN Posts49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Twitter Bot Posts Top HN Posts

Hacker News2

Read someone else's Twitter timeline47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Read someone else's Twitter timeline

Hacker News106

Twitter Overhead Projection44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Twitter Overhead Projection

Hacker News1

Trying to bootstrap my biz with Twitter bootstrap63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Trying to bootstrap my biz with Twitter bootstrap

Hacker News2

Hooking up Twitter with Angellist47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hooking up Twitter with Angellist

Hacker News1

sweepstakes + Twitter = TweetStakes63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

sweepstakes + Twitter = TweetStakes

Hacker News7

Twitter in London50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Twitter in London

Hacker News1

ThemeForest for Twitter Bootstrap51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

ThemeForest for Twitter Bootstrap

Hacker News7

Discreet Twitter buttons41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Discreet Twitter buttons

Hacker News16

My NBA + Twitter mashup26%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My NBA + Twitter mashup

Hacker News98

Browse all products Analyze your launch