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Tech Trendin' – GTM Resources and GTM Tech Launches, for You

Hacker News

Tech Trendin' – GTM Resources and GTM Tech Launches, for You

I share and curate GTM resources, trends and products updates daily, for marketers, sales, customer success, RevOps and more. If you have a GTM product, you can add it on Tech Trendin' https://www.techtrendin.com/ - you can also include a short demo video that gets shown in the feeds, and lots more. If you're into MarTech, SalesTech, AdTech, CSTech, GTMTech you should join to stay updated, and you can engage inside the community too.

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Actual performance

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Launch Intel predictions

Analyze your own launch →
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
41%41% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
40%40% 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: ide · Missing: https docs, excited, just released
38%38% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: video · Missing: mobile apps, ios, personal
33%33% 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
28%28% 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
16%16% 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
5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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