Ad network for side projects has launched

Hacker News

I'm excited to have launched Tiny Ads. https://tinyads.io A privacy respecting ad network for side projects. It's an old idea (web rings) lifted for a niche. Tiny Ads wants to become a network of smaller projects by linking each other on their respected landing page. The ad will provide a standardized way to display projects across the web. Like a feed layer on top your web page. New users will find your project by hopping from page to the next. I hope to create a positive sum game here. 3 weeks ago I posted a here and got positive feedback. So, thank you. I took it from demo to product spending on average 2 hours a day. The backend is written in nodejs + postgres hosted on hetzner. I'm running it on the cheapest tier ~3Euro. Most of the heavy lifting is done by postgres + graphile/worker [https://github.com/graphile/worker]. Images are cached on cloudflare and the server just sends ~400 btyes of json telling the browser what to fetch. I'm genuilly interested how much traffic I can handle with just 3 Euro. The frontend is pretty dumb. Simple html (4kb) with a bit of alpinejs.

Visit product View on Hacker NewsMar 15, 2021

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

73%73% 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, podcasting

72%72% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

59%59% 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: users, way · Missing: mobile apps, ios, personal

45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · 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.

Correct prediction on native model

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