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I made a site featuring a chronology of news sources for a news event

Hacker News

I made a site featuring a chronology of news sources for a news event

Note that I'm not a developer by trade and I still consider this a v0.1 with a bunch of bugs (in fact it's so v0.1 that the login button doesn't do anything and there's some hardcoded values in there. Bonus points if you spot them). In essence, the site gathers references from wikipedia articles and presents them chronologically. A couple of specific examples below: * 2022 Rusiian Invasion of Ukraine: http://hindsite.info/narrative/4271 * 2022 South Korean Presidential Election: http://hindsite.info/narrative/3017 And the features I'm particularly happy with: * Filter references by language * Filter references by type (video, forum, article) * Filter reference by source (click on the domain to the right of the link) * Blue bell next to a reference shows it was added today. * Modal to display youtube videos * Modal to display tweets I would love to hear you opinions on this as a general source of information and if you would use it. If so, I've a huge roadmap set out, and I'll most likely be able to convince some devs to join me. Parroting my about section: This website was created out of frustration with the current incarnation of news on the internet. On social media today we are supplied with an undifferentiated feed of individual news articles, videos and images from different times in multiple news stories. This causes unecessary rehashing of a story "It's already been debunked! Look!" and even the sharing of information that has since been proven to be false. What is being built here is an attempt at aggregating relevant articles of significant events in a chronological fashion. So as to be somewhat of a clear, if not definitive source of aggregated information. We hope to bring many more features to you over time that will help make sense of information on the internet.

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Product HuntOn track for Day 1 leaderboard · Strong signals: new, code · Missing: mac, agents, macos
79%79% predicted probability of success on Product Hunt, 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 · Strong signals: created · Missing: supports, reddit linkedin, podcasting
72%72% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
44%44% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: video · Missing: mobile apps, ios, personal
32%32% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: arr · Missing: mrr, revenue, profit
13%13% 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.

Correct prediction on native model

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