Launchgrid – Explore Today's Launches Across Product Hunt and Show HN

Hacker News

Hundreds of new tech ideas are launched every day. The best communities online for these launches are right here on Hacker News and of course Product Hunt. However, if you want to try and discover your next favorite product, often what you want to see are screenshots and some more detail about the product before drilling into it. So I created Launchgrid to give you that quick overview of each launch across Show HN and PH. This way you'll have a quicker and more pleasant experience discovering the new products of today! The main features are: - Aggregates today's launches for both Product Hunt and Hacker News - The first screenshot from PH, and the open graph image from HN are shown for each launch - If there's no OG image for an HN post, a screenshot of the website is shown - Link to PH or HN from the launch card, but also a direct link to the product - Ability to install as a progressive web app Some ideas for the future of this project: - Archive for the launches of previous days - An RSS feed so you can consume the same content in your app of choice - Introduce more sources. Are there other sources for new launches that you think I should include? - What else? Please take a moment to check it out and let me know what you think! Thank you!

Visit product View on Hacker NewsSep 25, 2024

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Actual performance

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Launch Intel predictions

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

90%90% 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, open · Missing: mac, agents, macos

65%65% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: hacker news, ide, io · Missing: https docs, excited, just released

48%48% 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

34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

31%31% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: introduce · 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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