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BlueCtrlP, a Deployment Tool for Side-Projects

Hacker News

BlueCtrlP, a Deployment Tool for Side-Projects

Hey fellow hackers, Struggling with the deployment phase? Coding may be a breeze, but launching is always the toughest nut to crack. Introducing BlueCtrlP - a tool I created to streamline the process Hey fellow hackers, Coding > Marketing, especially if you're building a side-project not generating revenue. Introducing BlueCtrlP - a tool I created to streamline the process of deploying your project across various platforms like Product Hunt, Reddit and Hacker News. This tool comes packed with an informative blog and AI assistance, which can be a game-changer, especially for non-native English speakers. This is my third project, I'm eager for your insights and let me know how I can make it better! This is my third project, I'm eager for your insights and let me know how I can make it better

Visit productView on Hacker NewsMay 13, 2024
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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
82%82% 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, coding · Missing: mac, agents, macos
77%77% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews
47%47% predicted probability of success on AppSumo, 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
39%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.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
34%34% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: revenue · Missing: arr, mrr, profit
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
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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