Bundle.social a social media API with no account limits

Hacker News

TL;DR: We built a developer-first social media API because existing ones got pricey per-account and brittle at scale. Now we are doing work for 250k accounts. Why I made it We were running merchandise businnes and needed to post content to hundreds of social accounts with Ayrshare it got expensive so we cobbled together API first system that lets you build out your own system on top of it. What it is - Unified endpoints for: publishing/bulk scheduling, media upload, and analytics fan-in. - No per-account pricing or hard caps from us bring as many accounts as you need. One gut has 100k - Works today with 15 social media platforms - Webhooks for status updates What’s different: - tbh support, we do it great - scale, we work best if you have a lot to do - we aren't focused on ads, so if you want to run ads via API we are not the guys for it How to get it. If you dont wanna pay just message us for free month via form on the website https://bundle.social/

Visit product View on Hacker NewsOct 28, 2025

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

80%80% 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 · Missing: mac, agents, macos

76%76% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: exist, existing · Missing: https docs, excited, just released

44%44% 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

29%29% 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

22%22% 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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