Eagle Eye – Grow your DevTool by engaging with content

Hacker News

Growing your DevTool can be frustrating. Developers don't respond well to traditional marketing. They don't like to be sold to, are active on specific social platforms, and trust their peers more than anything else. Therefore, ads, whitepapers, or cold emails have notoriously low conversion rates. What does work well is building relationships with developers based on common interests. One of the most effective ways to do this is to spot content related to your DevTool and insert yourself in the conversation. To help with just that, we launched Eagle Eye. (live on Product Hunt today!) Eagle Eye lets you discover and engage with the most relevant content in your developer niche. It continuously monitors 10+ developer-focused platforms and generates a personalized feed for you to jump into discussions and add value. If you demonstrate expertise, developers will get curious and check out your profile, learning more about your DevTool. Eagle Eye will help you never miss a discussion in your developer niche or even about your product. It’s an organic and systematic way to grow your DevTool and will bring you a long way in developer adoption if used consistently. We hope you'll try out Eagle Eye, and we’d love to hear what you think!

Visit product View on Hacker NewsMar 14, 2023

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

86%86% 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: email · Missing: mac, agents, macos

81%81% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: personal, way · Missing: mobile apps, ios, entrepreneurs

52%52% predicted probability of success on TrustMRR, 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

47%47% 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 · Strong signals: platform · Missing: plus, intuitive, reviews

32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

18%18% 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.

Incorrect prediction on native model

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