Public data release · 2026-08-15 · schema v1
AI Prompt Trends Research: 3,239 Published Examples
This release describes the published PicGens corpus as of 2026-08-15. It counts public rows by the stored model label, existing category tags and the month of the source post. It is a transparent corpus snapshot—not a claim about search demand, rankings, engagement, market share or model quality.
Published rows
3,239
Rows where is_published = true was observed in the read-only run.
Model labels
10
“Unlabelled model” stays visible; no model is inferred from prompt wording.
Latest ingest
2026-08-15
Latest represented source date: 2026-08-14.
Published rows by stored model label
GPT Image 2 is the largest labelled group in this snapshot, with 1,636 rows. These are corpus counts only: they do not measure which model is best, most popular in search or more likely to reproduce a result.
Model label counts in the 2026-08-15 PicGens snapshot| Stored key | Label | Published rows |
|---|
| gpt-image-2 | GPT Image 2 | 1,636 |
| nanobanana-pro | Nano Banana Pro | 468 |
| unknown | Unlabelled model | 455 |
| nanobanana-2 | Nano Banana 2 | 285 |
| midjourney | Midjourney | 116 |
| nanobanana | Nano Banana | 94 |
| seedream | Seedream | 85 |
| seedance | Seedance | 60 |
| gpt-image-1 | GPT Image 1 | 39 |
| veo | Veo | 1 |
Published rows by existing category tag
Category tags describe the existing editorial labels attached to rows. A row can carry more than one tag, so category totals intentionally do not add up to the corpus total.
Published rows by source-post month
The month dimension uses the stored source-post timestamp, not the ingest date. It helps describe when the represented public examples were created; it is not a time-series measure of demand or traffic.
Source-post month counts in the 2026-08-15 PicGens snapshot| Month | Rows |
|---|
| 2023-10 | 1 |
| 2025-04 | 3 |
| 2025-05 | 1 |
| 2025-07 | 4 |
| 2025-08 | 1 |
| 2025-09 | 3 |
| 2025-10 | 1 |
| 2025-11 | 7 |
| 2025-12 | 40 |
| 2026-01 | 142 |
| 2026-02 | 113 |
| 2026-03 | 59 |
| 2026-04 | 87 |
| 2026-05 | 185 |
| 2026-06 | 1,264 |
| 2026-07 | 1,218 |
| 2026-08 | 110 |
Method
Read published rows only and aggregate by model, existing category tag and tweet-created month; the 2026-08-15 run read 3,239 rows through a paginated Supabase query.
- Keep “unknown” as a visible bucket instead of inferring a model from prompt wording.
- Do not expose raw prompt contents, row identifiers, creator handles, private fields or per-row behaviour.
- Counts are a dated corpus snapshot; they are not search volume, ranking, engagement or market share.
Copy rate: unavailable — no copy event export was authorised for this snapshot.
Limitations
- The latest ingested row is 2026-08-15 and the latest tweet-created date represented is 2026-08-14; this is not a live trend feed.
- Category tags can overlap, so category totals are not expected to sum to the corpus total.
- No GSC, GA4, CrUX, backlink or copy-rate data was available or inferred.
No raw prompt text, row IDs, creator handles, source URLs, private fields or per-row behaviour are distributed with this release.
Machine-readable access
Agents and researchers can use the JSON or CSV distribution as a stable, dated citation target. The files describe aggregate dimensions and limitations; they do not expose individual creator content or grant rights to reuse any source image or prompt.
For prompt workflows, see the prompt variable analyzer and image ratio recommender. For the live gallery, browse model collections and use-case collections.