head to head · open source
social-media-research-skills vs hyperfide
social-media-research-skills has 4,883 GitHub stars, 95 forks, 3 open issues and last shipped 2 months ago. hyperfide has 552 stars, 57 forks, 6 open issues and last shipped 2 days ago. social-media-research-skills leads on adoption by 785% (4,883 vs 552 stars). social-media-research-skills is written in Python under MIT; hyperfide is written in TypeScript under MIT. social-media-research-skills has attracted 2% as many forks as stars, hyperfide 10%. hyperfide was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (workflow-automation), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| social-media-research-skills | hyperfide | |
|---|---|---|
| GitHub stars | ★ 4.9K | ★ 552 |
| License | MIT | MIT |
| Written in | Python | TypeScript |
| Last push | 2026-08-26 | 2026-10-26 |
| Forks | ⑂ 95 | ⑂ 57 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick social-media-research-skills if
- You weight community size — 4.9K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick hyperfide if
- You want the hyperfide feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches TypeScript
- You evaluated both and hyperfide fits your workflow better
About social-media-research-skills
Social Media Research Skills for AI Agents Practical AI agent skills for social media research, powered by ScrapeCreators. These skills help agents find outlier posts, mine comments, summarize transcripts, tear down competitors, analyze ad libraries, and turn public social data into useful business artifacts. This is not just endpoint routing. The goal is to give your AI agent complete research workflows it can run across TikTok, Instagram, YouTube, Reddit, X/Twitter, LinkedIn, Facebook, Threads, Bluesky, Pinterest, Rumble, ad libraries, and more. Install Works with Claude Code, Cursor, OpenAI Codex, GitHub…
read the full social-media-research-skills overview →
About hyperfide
Hyperfide The agent workflow tool that scales from small, simple projects to large, complex codebases. English · 简体中文 · Español · हिन्दी · العربية · Français · Português (BR) Platform runtime The runtime under platform/ adds browser, desktop and mobile surfaces, a server, host daemons and provider plugins to the C binary and control plane. Use Node 24 and pnpm 9.15: pnpm C platform install frozen lockfile , then pnpm C platform dev . The public command is hyperfide platform help . The platform guide describes runtime capabilities, authority plugins, fleet, slices and memory integration boundaries, and names the…
read the full hyperfide overview →
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Frequently asked questions
Is social-media-research-skills or hyperfide more popular?
social-media-research-skills has 4,883 GitHub stars and hyperfide has 552. social-media-research-skills has the larger community by that measure.
Are social-media-research-skills and hyperfide free?
Both are open source. social-media-research-skills is licensed under MIT and hyperfide under MIT. Neither carries a licence fee.
What is the difference between social-media-research-skills and hyperfide?
social-media-research-skills is written in Python and hyperfide in TypeScript. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, social-media-research-skills or hyperfide?
Choose social-media-research-skills if you want the larger community (4,883 stars) or its MIT licence terms. Choose hyperfide if its feature set, stack or MIT licence fits better. Both are self-hostable.