PhantomStat's answer

PhantomStat covers five sports in one platform — football, MMA, MLB, NBA and tennis — with dedicated pages per player, team, fighter and matchup. Instead of just headline numbers, each page surfaces the underlying breakdown: xG and PSxGA for football, per-round fatigue curves for MMA, a Prop Line Explorer with histograms for MLB, form and opponent-defense splits for NBA, and serve/return breakdowns for tennis. A free account unlocks a quota of pages across every sport; a paid Pro tier ($29.99 / €29.99 / £24.99 per month) unlocks advanced filtering and the full historical archive.

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.

PhantomStat's answer

Most single-sport score sites stop at the headline number, and most deep-analytics tools are priced for professionals. PhantomStat covers five sports in one place (football, MMA, MLB, NBA, tennis) instead of forcing you to juggle a separate tool per sport, and every player, team, fighter and matchup gets its own page rather than a row in a table. A free account unlocks a quota of those pages across every sport; the full dashboards, filters and comparison tools are $29.99 per month. Pages are built for search too — SEO-friendly URLs mean a specific player or matchup is usually one search away.

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.

PhantomStat's answer

Sports fans who want more than a final score, and fantasy/simulation players who need the underlying splits rather than a season average. That covers casual fans checking a player's recent form, fantasy managers comparing matchup histograms before setting a lineup, and anyone who follows football, MMA, MLB, NBA or tennis closely enough to want per-round, per-game or per-matchup detail instead of a single headline stat.

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.

PhantomStat's answer

PhantomStat started from a simple gap: casual sports sites stop at the final score and a season average, while the tools that go deeper are built for professionals and priced for them. The goal was to put real per-entity detail — xG and PSxGA for soccer, round-by-round fatigue curves for MMA, matchup splits for MLB, opponent-defense splits for NBA, serve/return breakdowns for tennis — one page away for any fan, on a free account rather than an enterprise contract. The paid Pro tier at $29.99 per month adds the full dashboards, the advanced filters and the historical archive.

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.

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.

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.