A Simple Website Provides TikTok Tools – Useful for Osint

Hacker News

Here's a simple site with free tools for TikTok,, It's totally free, has no ads, and you can use it as much as you want, +no limits, We've got a few things: 1; You can look up TikTok users to get useful info like their country, the language they use, and other details,, 2; There's a tool to view and download TikTok stories, and you can even see stuff like views counts that the official app doesn't show,, 3; You can also download any TikTok video super fast, in good quality, and you can get info like the country it was uploaded from, and exact uploaded time. Plus, we have a simple API " https://omar-thing.nekoweb.org/api " – just use a username to get TikTok account info, it's also free,, We'll be adding more tools soon..

Visit product View on Hacker NewsJun 25, 2025

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AppSumoStrong fit for a featured deal · Strong signals: plus, soon, users · Missing: platform, intuitive, reviews

61%61% predicted probability of success on AppSumo, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

60%60% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: video, users · Missing: mobile apps, ios, personal

44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide · Missing: https docs, excited, just released

40%40% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntUnlikely to reach the leaderboard · Strong signals: user · Missing: mac, agents, macos

37%37% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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