Co
Coding but Clueless about Marketing
Hacker NewsCoding but Clueless about Marketing
Solopreneurs are going to start going after small SaaS's that employ 10-20 people which were built pre-chat GPT. My thesis is there are niche products that don't have feature-sets which make sense for large teams, and Solopreneur dev + ChatGPT will being usurping those products that have small teams once developers learn how to market, which they will do because ChatGPT frees up time for that as well. So I'm making a YouTube channel, where I begin to learn how to market my own SaaS on reddit. Thanks for looking!
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Product HuntOn track for Day 1 leaderboard · Strong signals: chatgpt, coding · Missing: mac, agents, macos80%80% 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 · Missing: supports, reddit linkedin, podcasting76%76% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released39%39% 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 · Strong signals: saas · Missing: arr, mrr, revenue25%25% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive22%22% predicted probability of success on AppSumo, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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