Open data
29,864,168 accounts and channels · CC BY 4.0We read the Pinlyx Data API catalogues of X, Telegram, Bluesky, YouTube, TikTok, Instagram, Kick and Twitch: what language they are written in, how many carry a checkmark, how big they are, and where the labels cannot be trusted. Free data, CC BY 4.0.
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Of the 10,913 catalogued X accounts with more than a million followers, 96.2% carry a blue check; between 100,000 and a million it is 46.5%, and both figures are exact counts of every account in the band. Read down the ladder and the share falls with size: 16.8% at 10,000 followers, 10.5% at 1,000, 2.4% at 100. X’s old legacy verification flag is false on every one of the 10,913 largest accounts, and the “Automated” label is set on none of them.
73.4% of the 24,109 Instagram accounts in the catalogue are verified, and 30.0% are business accounts. On TikTok 16.4% of 22,399 accounts are verified, rising to 36.9% between 100,000 and a million followers. Those are full counts of every row, not samples, but they describe curated catalogues that lean towards large accounts, not the platforms.
Among accounts with a language label, English is 49.8% of X, 71.7% of Bluesky, 66.4% of YouTube and 63.5% of TikTok. Telegram is the exception: Russian holds 40.8% of labelled channels and English 18.8%. On X the second and third languages are Spanish (10.7%) and Japanese (10.4%).
307,258 X accounts are labelled Turkish, an exact rollup, which is 1.4% of the catalogue. On Kick, where the sample is 32,059 channels, Turkish is 8.8% of labelled channels, the third language after English and Spanish. On Telegram the Turkish label is broken: we read the 100 largest channels the catalogue marks “tr” and 70 were Uzbek, 6 Azerbaijani and only 17 Turkish, so that row is published as unreliable.
63.5% of X, 85.4% of Telegram and 89.0% of Bluesky accounts have fewer than 1,000 followers. The three catalogues we read in full run the other way: 43.8% of YouTube, 21.1% of TikTok and 81.2% of Instagram rows with a known count sit above 100,000, because those catalogues were built by discovery rather than by crawling the whole platform.
The same API exposes its own hypothesis engine. Across 4 passes, one completed: it pooled 3,294 X accounts above 1,644,259 followers and tested 3,492 hypotheses, 1,158 survived the multiple-comparison correction and 0 cleared every promotion rule. The findings feed serves 0 claims. We report that as it stands rather than quoting an unpublished finding.
Catalogue sizes are PostgreSQL planner estimates (pg_class.reltuples), as the API states, not counts; an exact count over 21 million rows would time out. Freshness is the last day the daily rollup was written.
Language is ISO 639-1 “as inferred by the engine’s language classifier”, in the API’s words. Shares are of rows that carry a label; the last column says how many rows carry none.
| Platform | Labelled Turkish | Share of labelled | Share of catalogue | No label | Basis | Rows read |
|---|---|---|---|---|---|---|
| X | 307,258 | 2.06% | 1.44% | 30.0% | Exact rollup | all |
| Telegramunreliable | 11,589 | 0.56% | 0.36% | 37.0% | Block sample | 15,841 |
| Bluesky | 31,928 | 1.21% | 0.77% | 36.6% | Block sample | 18,041 |
| YouTube | 251 | 0.79% | 0.72% | 9.2% | Every row read | 35,128 |
| TikTok | 159 | 0.71% | 0.71% | 0.1% | Every row read | 22,399 |
| 537 | 8.90% | 2.23% | 75.0% | Every row read | 24,109 | |
| Kick | 27,952 | 8.84% | 8.77% | 0.7% | Block sample | 32,059 |
| Twitch | 1,975 | 0.27% | 0.27% | 1.0% | Block sample | 72,533 |
Telegram: of the 100 largest channels labelled “tr”, 70 are Uzbek, 6 Azerbaijani, 17 Turkish and 7 other or unreadable. Latin-script Uzbek is being read as Turkish.
Share of rows with a language label. X is an exact hourly rollup; YouTube, TikTok and Instagram are full reads; the rest are block samples.
| Platform | First | Second | Third | Basis |
|---|---|---|---|---|
| X | English 49.8% | Spanish 10.7% | Japanese 10.4% | Exact rollup |
| Telegram | Russian 40.8% | English 18.8% | Arabic 8.8% | Block sample |
| Bluesky | English 71.7% | Portuguese 6.3% | Japanese 4.2% | Block sample |
| YouTube | English 66.4% | German 6.7% | Spanish 5.9% | Every row read |
| TikTok | English 63.5% | German 11.2% | Spanish 5.1% | Every row read |
| English 62.4% | Turkish 8.9% | Japanese 4.7% | Every row read | |
| Kick | English 44.9% | Spanish 22.4% | Turkish 8.8% | Block sample |
| Twitch | English 60.2% | Spanish 9.6% | Russian 6.1% | Block sample |
The catalogue stores each platform’s own profile flags. YouTube and Twitch carry no verification field at all; Twitch has a broadcaster type instead. Every share below says which accounts it was counted over.
Each bar below 100,000 is the 2,000 catalogued accounts at or just below that follower count, read in descending follower order. The two top bands are exact counts of every account in them.
| Followers | X blue check | X automated | Telegram verified | Bluesky verified | Kick verified | Kick affiliate | Twitch partner |
|---|---|---|---|---|---|---|---|
| 100 | 2.4% | 0.00% | 0.00% | 0.05% | 3.9% | 72.9% | 0.15% |
| 300 | 4.1% | 0.00% | 0.05% | 0.10% | 9.5% | 68.4% | 0.10% |
| 1,000 | 10.5% | 0.00% | 0.20% | 0.35% | 28.2% | 67.6% | 0.40% |
| 3,000 | 13.2% | 0.00% | 0.35% | 1.1% | 57.5% | 66.0% | 9.2% |
| 10,000 | 16.8% | 0.00% | 1.7% | 4.4% | 84.8% | 59.7% | 49.7% |
| 30,000 | 22.5% | 0.00% | 4.5% | 11.8% | 92.7% | 57.0% | 77.2% |
| Platform | Flag | Counted over | Flagged | Share |
|---|---|---|---|---|
| TikTok | Verified | every row · 22,399 | 3,680 | 16.4% |
| TikTok | Private | every row · 22,399 | 173 | 0.77% |
| Verified | every row · 24,109 | 17,692 | 73.4% | |
| Private | every row · 24,109 | 11 | 0.05% | |
| Business account | every row · 24,109 | 7,231 | 30.0% | |
| X | Blue check (X Premium) | every account in the 1M+ band · 10,913 | 10,496 | 96.2% |
| X | Verified | every account in the 1M+ band · 10,913 | 0 | 0.00% |
| X | Automated label | every account in the 1M+ band · 10,913 | 0 | 0.00% |
| X | Business label | every account in the 1M+ band · 10,913 | 1,631 | 14.9% |
| X | Government label | every account in the 1M+ band · 10,913 | 527 | 4.8% |
| X | Blue check (X Premium) | every account in the 100k-1M band · 146,351 | 68,076 | 46.5% |
| X | Business label | every account in the 100k-1M band · 146,351 | 8,027 | 5.5% |
| X | Government label | every account in the 100k-1M band · 146,351 | 3,313 | 2.3% |
| Telegram | Verified | every account in the 100k+ band · 10,586 | 1,184 | 11.2% |
| Bluesky | Verified | every account in the 10k+ band · 31,515 | 3,348 | 10.6% |
Share of accounts with a known audience count in each band. Sampled platforms show the API’s block sample; YouTube, TikTok and Instagram are full reads.
| Audience | X | Telegram | Bluesky | YouTube | TikTok | Kick | Twitch | |
|---|---|---|---|---|---|---|---|---|
| Under 1k | 63.5% | 85.4% | 89.0% | 7.7% | 29.9% | 0.4% | 93.2% | 83.0% |
| 1k-10k | 29.1% | 11.1% | 10.1% | 19.6% | 26.0% | 2.6% | 5.6% | 13.1% |
| 10k-100k | 6.6% | 3.2% | 0.8% | 29.0% | 23.0% | 15.9% | 1.1% | 3.2% |
| 100k-1M | 0.7% | 0.3% | <0.1% | 29.8% | 13.2% | 42.4% | 0.1% | 0.7% |
| 1M-10M | 0.1% | <0.1% | 0.0% | 12.6% | 6.0% | 31.6% | <0.1% | 0.1% |
| 10M+ | 0.0% | 0.0% | 0.0% | 1.3% | 1.9% | 7.1% | 0.0% | 0.0% |
| Basis | Block sample · 10,703 | Block sample · 14,550 | Block sample · 18,041 | Every row read · 35,128 | Every row read · 22,399 | Every row read · 7,685 | Block sample · 29,571 | Block sample · 72,034 |
Instagram: 68.1% of 24,109 rows have no follower count and are outside the shares.
Exact counts over 220,546 company records in 481 LinkedIn industries. Aggregates only: no row identifies a person and no contact data is involved. Country is known for 80.8% of records; 1,882 are in Türkiye.
| Industry | Companies | Median employees | With a website | Posted in 90 days |
|---|---|---|---|---|
| Software Development | 15,740 | 35 | 96.0% | 60.1% |
| IT Services and IT Consulting | 15,635 | 42 | 94.6% | 58.8% |
| Financial Services | 10,345 | 60 | 94.5% | 65.7% |
| Technology, Information and Internet | 9,872 | 19 | 92.9% | 51.7% |
| Advertising Services | 9,448 | 28 | 94.3% | 53.6% |
| Business Consulting and Services | 6,907 | 20 | 89.2% | 55.3% |
| Non-profit Organizations | 4,432 | 29 | 93.6% | 79.1% |
| Staffing and Recruiting | 3,795 | 27 | 93.0% | 65.0% |
| Venture Capital and Private Equity Principals | 3,714 | 15 | 93.2% | 54.3% |
| Marketing Services | 3,541 | 12 | 86.2% | 44.5% |
| Hospitals and Health Care | 3,279 | 131 | 95.6% | 71.8% |
| Hospitality | 3,105 | 100 | 94.9% | 69.6% |
| Information Technology & Services | 2,929 | 39 | 95.8% | 55.4% |
| Construction | 2,913 | 69 | 94.5% | 66.5% |
| Real Estate | 2,897 | 50 | 93.1% | 62.5% |
GET /research/runs lists 4 passes of the API’s own hypothesis engine. One completed: it pooled 3,294 X accounts with at least 1,644,259 followers and 201,968 of their posts over a 90-day window, tested 3,492 hypotheses, 1,158 survived the Benjamini-Hochberg correction and 0 met every promotion rule (alpha 0.05, a 10% minimum effect, 50 contributing accounts, three consecutive passes). The later passes widened the pool to 78,785 accounts; two failed on a temporary-file limit and one is still running, so GET /research/findings serves 0 claims. Nothing on this page comes from that engine.
The catalogue is a discovery corpus, collected to find and monitor accounts; it does not represent the whole of any platform, and the small catalogues (YouTube, TikTok, Instagram, Kick, Twitch) are curated towards accounts someone wanted to watch. Catalogue sizes are planner estimates, not counts. Every axis marked “block sample” is the API’s scaled sample of whole database pages, so values that cluster by insertion order carry more noise than their share suggests; small buckets are directional. The follower-level slices are the accounts at or just below a level in follower order, not a random draw, and X’s “automated” flag is false in every cohort we read, which we report as an absence of the label in the catalogue rather than as a measurement of bots. Language and country are classifier output: on Telegram the Turkish label is wrong on most rows it marks, and the country field is empty on Telegram and Bluesky and absent on TikTok, Instagram, Kick and Twitch. Instagram follower counts are missing on 68.1% of rows, and Instagram’s 8.9% Turkish share is a property of a small, hand-assembled catalogue with a language label on a quarter of its rows, not of Instagram. YouTube subscriber counts are rounded by YouTube itself.
The data is CC BY 4.0. Use it, quote it, republish it. The only ask is attribution.
<a href="https://pinlyx.com/research/social-platform-census-2026">Social platform census 2026</a>, Pinlyx, CC BY 4.0The catalogues behind these figures, queryable account by account: followers, language, verification, growth.
Our other Telegram dataset: how many subscribers actually see a post, by channel size.
The digital presence of 1.79M businesses in Turkey, by province and sector.
Ready to ship
Pinlyx’s lead discovery runs on these catalogues: filter X, Telegram, Bluesky, YouTube, TikTok and Instagram by size, language and verification, and import the accounts you pick straight into the CRM.
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