Busy founders and CMOs juggling product launches need fast, reliable creator picks—enter our top indian tech youtubers 2025 list, handpicked after semantic content matching, audience-quality checks, fraud detection and geo-language alignment to cut research time; start a free 7-day trial to analyze any creator instantly.
Top Tech Youtubers In India - Curated Creator Picks
We catalog top indian tech youtubers 2024 here - a fast, verified Top-17 roster vetted for audience quality, engagement and campaign-ready contact exports.
How does IQFluence verify the audiences of top indian tech youtubers?
We run multi-step audience verification for top indian tech youtubers: semantic match of channel content, fraud detection and reachability checks, rolling 30-day ER% and view distributions, audience gender/geo/language breakdowns, and lookalike comparisons so you see who truly reaches your target markets.
How fresh are the audience and engagement metrics for these YouTubers?
Metrics refresh on a rolling last-30-days window - profile stats and audience snapshots update in seconds when you paste a handle, so ER%, views, cadence and audience breakdowns reflect the most recent 30-day activity.
Can I export contact details and media plans after signup?
Yes. After signing in you can export creator contacts and media plans - profile analyses (PDF/JSON), saved influencer lists (CSV) and the Media Plan Builder as a live Google Sheet. Exports require an account and are available from the platform’s share/export controls.
Can I compare Instagram, TikTok and YouTube creators side-by-side?
Yes — Instagram, TikTok and YouTube creators are presented in a single, normalized grid so you can view ER%, min/avg/max views, posting cadence and audience demographics side-by-side. Profiles refresh in seconds (rolling 30-day window) for fair, apples-to-apples comparisons.
Can I build a media plan with apples-to-apples creator rows?
Yes. The Media Plan Builder exports a Google Sheet with uniform creator rows - followers, L30D ER%, min/avg/max views, posts/mo, avg likes/comments, audience age/gender/countries and outreach fields - so you can shortlist, compare and hand off truly apples-to-apples creator data.
How does IQFluence normalize engagement and view metrics across platforms?
We calculate platform parity by converting raw metrics into standardized L30D measures - ER% (likes+comments per follower), min/avg/max views from recent posts, and posting cadence. Those normalized fields let us present fair, cross-platform rows for apples-to-apples comparisons and model conservative→optimistic bands.