Mo

Monitor Any List Page Without RSS Feeds

Hacker News

Monitor Any List Page Without RSS Feeds

Hi HN, I wanted to share a tool I've been working on called WebList. I've often found myself repeatedly checking certain websites for updates, also watching some keywords in few website. . . Many of these sites don't offer RSS feeds, and setting up custom scrapers or alerts felt like a hassle. WebList lets you monitor any webpage that displays a list of items. You just enter the URL of the page you want to track, and it automatically detects the main list on that page. Whenever new items are added, you'll get an in-app notification. I'm curious if others have faced the same issue and if this solution would be helpful ? I'd really appreciate any feedback, suggestions, or questions you might have. try it out. — Saran

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Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
75%75% 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.
Product HuntOn track for Day 1 leaderboard · Strong signals: new · Missing: mac, agents, macos
73%73% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
35%35% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
10%10% 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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