Show HN Aftermath: Releasing Followords.com this morning

Hacker News

This morning I've submitted our project to HN. http://news.ycombinator.com/item?id=4099054 Got pretty helpful feedback. But that wasn't the only thing. 478 people requested invite out of 755. 63% conversion rate. Almost 9K unique visitor visited our website. At some point in the morning I was seeing 400+ active users on the website. Unbelievable. 35 people registered without telling them how to register. ( You cannot register directly, there is only a login form - but they figured out a way :) http://imgur.com/Kbf9J 6K people visited directly from Hacker News, 1K from Twitter ( I guess Popular Hacker News post ) I was afraid that Nginx might not hold up, but that was not the problem. I wasn't ready for it! Stuck on my chair from 08:00 am till 02:00 pm. I am still feeling anxious. People tweeted about us without using our application. https://twitter.com/#!/search/realtime/followords (even in Spanish) Today another lesson learnt: So if you are working on a project. Release it. Ship it. Let people tell you how much your project, website or tagline sucks. Embrace it. Think about it, thank them and move on. I need some sleep, tomorrow is another great day. Thank you all for your contributions.

Visit product View on Hacker NewsJun 12, 2012

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Hacker NewsStrong engagement from HN community · Strong signals: nginx, hacker news, io · Missing: https docs, excited, just released

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nativeThis product was originally launched on this platform.

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

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Product HuntUnlikely to reach the leaderboard · Strong signals: user, new, using · Missing: mac, agents, macos

48%48% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive

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

14%14% 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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