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YARS Bulk download imgs, GIFs, posts, comments and userdata from Reddit

Hacker News

YARS Bulk download imgs, GIFs, posts, comments and userdata from Reddit

This scraper uses simple .json requests, avoiding the need for official Reddit API keys, making it lightweight and easy to use. Use with rotating proxies, or Reddit might gift you with an IP ban. I could extract max 2552 posts at once from 'r/all' using this. <a href=" https://files.catbox.moe/zdra2i.json">Here</a> is a 7.1 MB JSON file containing the top 100 posts from 'r/nosleep', which included post titles, body text, all comments and their replies, post scores, time of upload etc.

Visit product View on Hacker NewsSep 29, 2024

Actual performance

4points

Did not reach leaderboard

Launch Intel predictions

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

61%61% 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 NewsMay not resonate with HN audience · Missing: https docs, excited, just released

42%42% 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

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

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: user, using · Missing: mac, agents, macos

31%31% 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

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

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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