Pick your niche
🤖 Top viral creators to study
Watch how the top AI accounts pair a single screenshot or short clip with a one-line caption — image tweets dominate the AI For You feed. Note how Karpathy and emollick teach without condescension.
Ex-Tesla/OpenAI. Posts dense technical breakdowns on LLM internals and training — bookmark magnet, regularly 20k+ likes.
OpenAI CEO. Cryptic one-liners about AGI timelines that spawn massive QT debates. Even 5-word tweets clear 30k.
Indie builder shipping AI apps in public. Screenshots of revenue dashboards + 'built in a weekend' framing.
AI Engineer movement builder. Threads synthesizing AI dev landscape — high bookmark rate from devs.
Platform owner, sets For You ranker tone. Any AI take from him surfaces algorithmically.
Meta Chief AI. Contrarian anti-LLM-hype takes drive enormous QT wars with the AGI crowd.
NVIDIA research. Visual explainers of robotics + foundation models — strong image-tweet performance.
Pragmatic Engineer. Tech industry insider scoops on layoffs, comp, hiring — reply velocity is huge.
Perplexity CEO. Founder-vs-Google narrative + product update tweets get amplified.
Wharton prof on practical AI use. Side-by-side AI demos — accessible to non-devs, big share rate.
🎯 Viral templates that work in AI & Tech
[Concrete technical demo] + [screenshot/video] + [understated caption]
Asked GPT-5 to debug a 4000-line legacy COBOL file. It found the race condition in 12 seconds. We've been hunting it for 3 weeks.
💡 Specificity (line count, time) + visual proof drives bookmarks. The understated tone invites QT amplification from skeptics and believers alike.
[Contrarian anti-hype take] + [first-principles reasoning]
Everyone's building agents. I shipped a $40K MRR SaaS with one OpenAI call and a Postgres table. Most 'agentic' workflows are a for-loop in a trench coat.
💡 Anti-hype tweets get massive reply velocity from devs sick of the discourse. The MRR number adds credibility the For You ranker rewards.
[Timeline prediction about AGI/jobs] + [specific year] + [confidence assertion]
By end of 2027, the median software engineer's job will be reviewing AI PRs, not writing them. The 10x engineers will be the ones who learned to taste, not type.
💡 Future-prediction tweets are bookmark gold and trigger long QT threads. Specific years and roles force people to take sides.
How the Viral Tweet Finder works
X (Twitter) has one of the most powerful search engines on the internet — but the syntax is obscure and rarely documented. This tool exposes the operators as visual controls and assembles a valid search URL for you. Four steps:
Frequently Asked Questions
What is the Viral Tweet Finder?+
The Viral Tweet Finder is a free visual builder that turns your niche, minimum-likes threshold, date range, and language into a valid X (Twitter) advanced search URL. You pick the filters, the tool assembles the operators (min_faves, since, lang, filter:verified, etc.) and opens the search in a new X tab. No login, no API.
How does it actually work — does it have its own database?+
No. The tool builds a search URL that X.com itself executes. You stay on X for the results, so the data is always current and identical to what you would see if you typed the operators by hand. We just save you the syntax memorization.
What does min_faves do?+
min_faves:1000 tells X to only show tweets that earned at least 1,000 likes. It is the single most useful operator for finding viral content because it filters out low-engagement noise instantly. Combine it with a date range (since:YYYY-MM-DD) to surface recent viral tweets in your niche.
Why exclude replies and reposts by default?+
Replies usually rank up because of the parent tweet, not their own merit, and reposts duplicate content. Excluding both gives a cleaner list of original viral posts. Toggle them back on if you specifically want to study viral threads or amplification patterns.
Does the verified-only filter still work in 2026?+
Yes. filter:verified now matches Premium and Premium+ subscribers (the X ecosystem after the legacy blue-check sunset). It is useful for filtering out throwaway accounts and surfacing content that already passed the platform credibility bar.
How is this different from the Hashtag Library or Trending pages?+
Hashtag Library curates tags to copy into your posts. Trending shows what is bubbling up right now. The Viral Tweet Finder lets you ask the historical question: "what already worked in this niche at scale?" — so you can reverse-engineer hooks, formats, and angles from proven viral tweets.
