AI tool comparison
Eyeball vs Social Fetch
Which one should you ship with? Here is the side-by-side panel verdict, pricing read, reviewer split, and community vote comparison.
Developer Tools
Eyeball
Inline screenshots with every AI claim — hallucination's paper trail
75%
Panel ship
—
Community
Free
Entry
Eyeball is an indie tool that fights AI hallucination in document analysis by embedding inline screenshots of the actual source passages alongside each AI-generated claim. When you analyze a PDF or document with Eyeball, the output is a Word doc where every statement has a highlighted screenshot of the precise text it came from — because screenshots are harder to hallucinate than quotes. The tool emerged from a simple observation: AI systems routinely fabricate citations and misquote sources, and quote-only verification still requires humans to manually hunt down the original text. Eyeball short-circuits that by attaching the visual evidence directly to each claim in the output document. Legal, compliance, and research reviewers can audit AI outputs at a glance rather than cross-referencing. Built in Python, Apache 2.0 licensed, launched as a Show HN six days ago and gaining traction. The approach is low-tech by design — no vector embeddings, no proprietary API calls — just precise text highlighting, screenshot capture, and Word document assembly. The simplicity is the point: verifiable AI outputs shouldn't require a research budget.
Developer Tools
Social Fetch
Pull real-time data from TikTok, Instagram, YouTube, X, LinkedIn via one API
75%
Panel ship
—
Community
Free
Entry
Social Fetch is a unified API platform that lets developers scrape profiles, posts, comments, videos, and transcripts from TikTok, Instagram, YouTube, X (Twitter), LinkedIn, and Facebook in real time. Built by indie developer Luke (lukem121), it unifies six social platforms behind a single TypeScript SDK with OpenAPI spec support and a pay-as-you-go credit model — no monthly commitment, no rate limits, 100 free credits to start. The core problem Social Fetch solves is fragmentation. Each major social platform has incompatible APIs (or no public API at all), constantly changing endpoints, and aggressive bot detection. Building and maintaining scrapers for all six platforms is a multi-month engineering effort that quickly becomes a maintenance burden. Social Fetch abstracts all of that away behind a clean, consistent interface that works today. For AI builders specifically, social data is increasingly the raw material for training data pipelines, competitive intelligence agents, content analytics, and trend detection. Social Fetch landed #3 on Product Hunt with 234 upvotes on launch day, suggesting significant demand. The pay-as-you-go pricing is appealing for projects with variable data needs, and the free credit tier lets teams evaluate it without any upfront commitment.
Reviewer scorecard
“This is the kind of clever, unglamorous tool that actually solves a real problem. The insight that screenshots are harder to hallucinate than quotes is simple but profound. Drop this into any pipeline that serves legal or compliance users immediately.”
“Maintaining scrapers for six platforms is genuinely painful. If Social Fetch keeps up with API changes and anti-bot measures, the time savings alone justify the cost. The TypeScript SDK and OpenAPI spec mean zero friction to integrate.”
“Screenshots of source text don't prevent the underlying problem — an AI can still misinterpret or misconstrue what the screenshot says. It adds friction to the review process without fixing the root cause. Useful for basic verification but don't mistake it for a hallucination solution.”
“Scraping LinkedIn and Instagram at scale almost certainly violates their ToS, and both platforms have sued scrapers before. Using this in a production application carries real legal risk that isn't disclosed on the landing page.”
“Provenance-by-design is going to be mandatory for AI in regulated industries. Eyeball's approach — baking visual evidence into every claim — points toward a future where AI outputs are self-auditing. This is an indie tool today; it's a compliance standard in three years.”
“Real-time social data is the nervous system of AI-powered market intelligence. A unified cross-platform API turns social media into a structured data source that agents can actually reason over.”
“For editorial and research work, knowing exactly where an AI got its information is table stakes. Eyeball makes that process visual and immediate — that's a huge quality-of-life improvement for anyone who fact-checks AI-generated research.”
“For content creators tracking trends and competitors across platforms, this is a tool that would save hours of manual monitoring weekly. The pay-as-you-go model means you only pay when you're actually using it.”
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