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Glowby
Paste a video link, get a 0 to 9.9 accuracy score
Most fact-checkers work on articles. Glowby is an iOS app that works on video. Paste a TikTok, Reel, or Short and it pulls claims out of both the audio and what's on screen, then checks each one against sources ranked by a 13-category reliability system. You get a 0 to 9.9 score. It's the minimum across the central claims, not the average, so one confident falsehood can't hide behind four true statements. Every claim links to its sources. The full methodology is public.
Hi everyone, I'm Diya, I built Glowby.
I got into this from campaigning and interning at a state assemblymember's district office. Between doors and constituent calls, I kept meeting people who were certain about things that weren't true, and a lot of it traced back to a video they'd seen.
So I tried to build a fact-checker. My first prototype was confidently wrong about everything. I asked it about peptides and muscle growth and it came back near 100% certain, citing a Stanford study about trees. The study did not exist. That's when I stopped tuning the model and started writing evidence rules instead.
Glowby now splits the work across separate agents for vision, audio, claim extraction, evidence, and judging. Sources are ranked across 13 reliability categories. The headline score is the minimum across the central claims rather than the average, because averaging lets one big false claim hide inside a pile of true ones.
Two weeks after launch TikTok and YouTube started blocking my servers, so there's now a fallback ladder of retries, proxies, and a paid scraper tier running underneath.
I'd love feedback on the scoring rubric specifically. Methodology is public at glowby.io. Happy to answer anything.
About Glowby on Product Hunt
“Paste a video link, get a 0 to 9.9 accuracy score”
Glowby was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #65 on the daily leaderboard. Most fact-checkers work on articles. Glowby is an iOS app that works on video. Paste a TikTok, Reel, or Short and it pulls claims out of both the audio and what's on screen, then checks each one against sources ranked by a 13-category reliability system. You get a 0 to 9.9 score. It's the minimum across the central claims, not the average, so one confident falsehood can't hide behind four true statements. Every claim links to its sources. The full methodology is public.
On the analytics side, Glowby competes within News, Social Media, Artificial Intelligence and GitHub — topics that collectively have 646.8k followers on Product Hunt. The dashboard above tracks how Glowby performed against the three products that launched closest to it on the same day.
Who hunted Glowby?
Glowby was hunted by Diya Sekhon. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Glowby including community comment highlights and product details, visit the product overview.
Diya Sekhon