SocialFetch.dev's answer

Social Fetch provides a unified REST API that lets developers collect public data from 20+ social platforms — TikTok, Instagram, YouTube, X, LinkedIn, Reddit, Facebook, Threads, and more — using a single consistent JSON schema. There is no need to learn or maintain separate APIs for each network. Credits never expire, and you only pay for what you use, making it ideal for both prototyping and production-scale data pipelines.

LearnwithPath.com's answer:

YouTube has the best content for almost any skill, but no structure. Coursera and Udemy have structure but cost $49 to $79 a month or $200 a course. LearnPath gives you the structure of a paid course on top of free YouTube videos, and the path adapts based on how you score on quizzes. The free tier is fully usable, not crippled. Knowledge actually sticks because spaced repetition is built in.

SocialFetch.dev's answer

Unlike solutions that require you to set up and maintain separate API integrations for each platform, Social Fetch gives you one API key and one consistent schema across all supported networks. You get the same response structure whether you are fetching TikTok videos, Instagram posts, or YouTube channels. The pay-as-you-go model means no wasted monthly spend on idle subscriptions, and credits never expire so there is no pressure to use them up.

LearnwithPath.com's answer:

It's free for the core experience and the paths actually adapt to you. Coursera locks fixed curricula behind a paywall. Udemy buries you in 40 hour video dumps with no quiz logic. Skillshare is project-based, not skill-based. LearnPath builds a path from real videos, generates quizzes from the actual transcripts of those videos, and reshapes the path based on your performance. Spaced repetition reviews are scheduled automatically so what you learn sticks. No setup. No API keys. Sign up and start in under a minute.

SocialFetch.dev's answer

Social Fetch is primarily used by developers, data engineers, and growth marketers who need programmatic access to social media data without building and maintaining individual platform integrations. Common use cases include social analytics tools, influencer research platforms, content aggregation pipelines, brand monitoring dashboards, and AI training datasets that require large-scale social content.

LearnwithPath.com's answer:

Self-taught learners. Career switchers ramping up on a new tech stack. Students preparing for technical interviews. Developers picking up a new language or framework. Designers learning a new tool. Anyone who has tried piecing together a YouTube playlist and wished it had structure, quizzes, and progress tracking. Mostly people who would rather learn for free than pay $49 a month for Coursera.

SocialFetch.dev's answer

Social Fetch was founded by Luke Askew, a developer who repeatedly ran into the same problem while building social analytics tools: every platform had a different API, different authentication flows, different rate limits, and different response shapes. Building and maintaining integrations for even a handful of platforms was a significant ongoing burden. Social Fetch was created to solve this by acting as a single abstraction layer, so developers can focus on what they are building rather than on the plumbing beneath it.

LearnwithPath.com's answer:

I taught myself programming, development, and most of what I know from YouTube. There is an enormous amount of high-quality material on the platform but no structure and no real way to know if you are actually learning. After years of stitching together my own playlists, I built LearnPath to fix that for everyone else. An AI takes any topic, assembles a personalized course from the best YouTube videos, and adds quizzes and spaced repetition so the knowledge actually sticks. The best part is that it's free.

SocialFetch.dev's answer

Social Fetch is built on Next.js and TypeScript, deployed on Vercel. The API layer is serverless and runs on edge infrastructure for low latency globally. Data is processed and stored using cloud-native services, and the platform uses tRPC for type-safe internal APIs. The codebase is a TypeScript monorepo, enabling shared types between the API, frontend, and internal tooling.

LearnwithPath.com's answer:

Frontend is Next.js 14 with React, TypeScript, and Tailwind CSS. Backend is Python with FastAPI. Database, auth, and realtime are on Supabase with row level security. AI is Google Gemini for video curation, quiz generation, and the adaptive branching logic. Video data comes from YouTube Data API and youtube-transcript-api. Payments are on Airwallex. Errors and analytics are on Sentry and PostHog.

SocialFetch.dev's answer

Social Fetch is currently used by early-stage startups, independent developers, and small analytics teams. As a newer product launched in 2024, we are still growing our customer base. If you are interested in using Social Fetch or would like to be featured here, please reach out at hello@socialfetch.dev.