I

I built a non-algorithmic social network for just my family and friends

Hacker News

I built a non-algorithmic social network for just my family and friends

For the past month, we’ve been running a small, private social network I built for my closest connections. No AI, no algorithms, no ads — just genuine human interaction. It’s been surprisingly liberating. What it is: A simple platform where my family and friends can share updates, photos, and conversations. Entirely private—you only see content from people you follow. No user search. You can only connect with people you already know in real life. No tracking, no content analysis, no data mining. Zero algorithmic feeds—no engagement-driven optimization. Why we built it: I quit all the traditional social networks last September( https://news.ycombinator.com/item?id=43310766 ), and found that improved my life significantly. With one caveat - I often felt disconnected from my family and close friends. So I wanted to bring back just that much - an unfiltered non-greed-driven space. Technical implementation: Nothing fancy—just a basic CRUD application with: User authentication, Text and Photo uploads (stored on Cloudflare), Chronological feed and comment threads, minimal infrastructure (Google App Engine + Vercel) Simplicity is the point. What I’ve learned: 1. Without algorithms dictating visibility, people naturally moderate their posting frequency 2. When everyone knows each other, accountability happens organically 3. The absence of infinite content eliminates doomscrolling. And I actually feel filled just taking a look at my feed and seeing nothing new was added since my last visit! 4. People share more authentically when they aren’t worried about performance metrics This isn’t a startup launch or an open-source project (yet?). Just an experiment that has made my digital social life feel more human. The best part? Everyone I built it for is already using it! Actually, I’m hesitant to grow it too much, because then I’d have to start worrying about server cost and a monetization strategy, and so on.

Share card

Actual performance

2points
2comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
90%90% 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: google, user, new · Missing: mac, agents, macos
84%84% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
62%62% 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
40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: month, google · Missing: mobile apps, ios, personal
35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
22%22% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: real life · 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

Similar products

I
I built a non-algorithmic social network for just my family and friends61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I built a non-algorithmic social network for just my family and friends

Hacker News1
Bu
Built a social network where your friends can't see your posts48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Built a social network where your friends can't see your posts

Hacker News6
Ju
Just another social network51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Just another social network

Hacker News1
A
A federated social network, built on Ethereum and IPFS67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A federated social network, built on Ethereum and IPFS

Hacker News25
Sl
Slow Social, a social network built for friends, not influencers55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Slow Social, a social network built for friends, not influencers

Hacker News752
To
Touchgrass, non-addictive social network, Fediverse and bsky-compatible42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Touchgrass, non-addictive social network, Fediverse and bsky-compatible

Hacker News2
Circit: with your real friends
Circit: with your real friends25%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Your private social network

Indie Hackers1social-media
I
I made a social network for musicians55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I made a social network for musicians

Hacker News33
wh
what to do next with this social network?55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

what to do next with this social network?

Hacker News1
Yo
YoYo, the coolest social network55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

YoYo, the coolest social network

Hacker News3