Retrospective on having my “Show HN” on the front-page

Hacker News

I was lucky enough to have my site trending on Friday (https://news.ycombinator.com/item?id=25872922). It’s an icon site that lists open source icons. I wanted to share some stats on the results after 3 days. Worth noting was that I submitted it on a Friday morning (at which point I went for a walk and a coffee; eek). - 24,997 page views. I (embarrassingly) didn’t have GA set up when I first submitted it, so this is probably missing a few hundred page views - 21 “feedback” emails (half of which were spam). I assume such a high percentage of these were spam because my Feedback form didn’t require email addresses. - 5 note-worthy emails from people which may result in some sort of collaboration - 10 mailing list subscriber sign ups. Running through MailChimp, and it’s not emphasized at all (eg. just a link in the footer). Purposefully not email-gating people to download, since I want this to be a very developer-centric site, and it feels a bit unsettling to email-gate other people’s digital content. - 2,670 icon downloads - 74 comments. A big caveat to this one: I replied to almost every comment. The thinking is that if someone took the time to comment (even just a “thanks”), I wanted to take the time to reply to them as well. Also, I purposefully didn’t reply to people who were commenting on their own alternative services. Perhaps a tad uncouth, but I didn’t want to shine a light on a comment that was designed to detract from my submission. I would have made an exception if there was substance to those comments beyond the detraction. - One founder from a related (and leading) service (Flaticon) jumping into the comments. I really appreciated this. Similar to how Patrick Collison (of Stripe) is often seen replying to comments on Stripe-related posts. This founder submitted thoughtful replies to people’s criticisms, which I thought was quite considerate.

Visit product View on Hacker NewsJan 25, 2021

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

79%79% 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.

Hacker NewsStrong engagement from HN community · Strong signals: open source, ide, io · Missing: https docs, excited, just released

61%61% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntOn track for Day 1 leaderboard · Strong signals: stripe, new, email · Missing: mac, agents, macos

58%58% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

41%41% 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

41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

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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