Kerneta/daidocs
Name variants DaiDocs · daidocs
We have been working on making an Open-Source standard documents for AI LLM's and Agents. Just like an excel file, .dai (Document AI) is a new standard to keep memory local and use with any AI agents and LLM's. This new standard comes with lots of features such as more than 10x tokens savings (tested on LongMemEval-S) when comapred the .dai to raw files and
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- First observed in our collection
- Nov 5, 2026, 9:15 AM UTC
- Earliest cited publication
- Oct 8, 2026, 11:50 AM UTC
- Last observed
- Nov 5, 2026, 10:01 AM UTC
Evidence in the last complete seven days
- Source mentions
- 0 Previous seven days 0
- Distinct sources
- 0 Previous 0
- Comparable growth
- Not comparable
- Ranking appearances
- 0
Collection observations and undated records are separate from dated publication counts. Observed in 7d：1 · Undated records：0
Collection coverage · Limited historyCurrent / previous observed days 7 / 4
Counts use complete UTC days. First observed means first seen by this collection, not when a term was coined.
Current window：2026-10-30 → 2026-11-06 (end excluded) · History 12 days
| Source | Current days | Previous days | Last success |
|---|---|---|---|
| arXiv | 6 | 4 | Nov 5, 2026, 10:00 AM UTC |
| arXiv | 7 | 3 | Nov 5, 2026, 10:01 AM UTC |
| Ask HN | 7 | 4 | Nov 5, 2026, 9:15 PM UTC |
| Ask HN | 7 | 4 | Nov 5, 2026, 8:30 PM UTC |
| Ask HN | 7 | 4 | Nov 5, 2026, 9:15 PM UTC |
| Ask HN | 7 | 4 | Nov 5, 2026, 9:15 PM UTC |
| GitHub | 7 | 4 | Nov 5, 2026, 12:15 PM UTC |
| GitHub Issues | 7 | 4 | Nov 5, 2026, 4:00 PM UTC |
| GitHub Releases | 7 | 2 | Nov 6, 2026, 12:15 AM UTC |
| GitHub | 7 | 4 | Nov 5, 2026, 2:30 PM UTC |
| GitHub Issues | 7 | 4 | Nov 5, 2026, 4:15 PM UTC |
| GitHub Releases | 7 | 4 | Nov 5, 2026, 4:15 PM UTC |
| GitHub | 7 | 4 | Nov 5, 2026, 2:30 PM UTC |
| GitHub Issues | 7 | 4 | Nov 5, 2026, 4:45 PM UTC |
| GitHub Releases | 7 | 4 | Nov 5, 2026, 4:15 PM UTC |
| GitHub Discovery | 1 | 0 | Nov 5, 2026, 9:15 PM UTC |
| GitHub Trending | 7 | 4 | Nov 5, 2026, 6:45 PM UTC |
| 7 | 3 | Nov 5, 2026, 10:00 AM UTC | |
| Hugging Face | 7 | 3 | Nov 5, 2026, 8:15 AM UTC |
| Hugging Face Spaces | 1 | 0 | Nov 5, 2026, 9:15 PM UTC |
| Hacker News | 7 | 4 | Nov 5, 2026, 6:45 PM UTC |
| Hacker News | 7 | 4 | Nov 5, 2026, 9:30 PM UTC |
| Hacker News | 7 | 4 | Nov 5, 2026, 9:30 PM UTC |
| Hacker News | 1 | 0 | Nov 5, 2026, 9:15 PM UTC |
| Show HN | 1 | 0 | Nov 5, 2026, 9:15 PM UTC |
| MIT News | 7 | 3 | Nov 5, 2026, 4:15 PM UTC |
| OpenAI | 7 | 4 | Nov 5, 2026, 11:30 AM UTC |
| Product Hunt | 7 | 4 | Nov 5, 2026, 6:45 PM UTC |
| 量子位 | 6 | 4 | Nov 4, 2026, 10:15 AM UTC |
| OpenRouter | 1 | 0 | Nov 5, 2026, 11:58 PM UTC |
| Hugging Face Models | 1 | 0 | Nov 5, 2026, 11:58 PM UTC |
| HF Daily Papers | 1 | 0 | Nov 5, 2026, 11:58 PM UTC |
| OpenRouter | 1 | 0 | Nov 5, 2026, 11:58 PM UTC |
| SEC EDGAR | 7 | 4 | Nov 5, 2026, 10:30 PM UTC |
| Sequoia Capital | 7 | 3 | Nov 5, 2026, 10:00 AM UTC |
| Simon Willison | 1 | 0 | Nov 5, 2026, 3:13 PM UTC |
| TechCrunch | 7 | 4 | Nov 5, 2026, 8:30 PM UTC |
| Contracts Finder | 7 | 4 | Nov 5, 2026, 7:45 PM UTC |
| V2EX | 7 | 4 | Nov 5, 2026, 8:30 PM UTC |
- Counts describe monitored public sources, not the whole web or search demand.
- Both weeks need adequate, comparable collection coverage.
Daily history · up to 90 days
Bars show dated source mentions. The latest UTC day may be incomplete. Zero mentions and missing collection coverage are different conditions.
Dotted markers indicate days with no record. They are not counted as zero mentions.
View accessible daily data
| UTC date | Mentions | Sources | Observations | Ranking appearances |
|---|---|---|---|---|
| 2026-10-08 | 1 | 1 | 0 | 0 |
| 2026-10-09 · No record | — | — | — | — |
| 2026-10-10 · No record | — | — | — | — |
| 2026-10-11 · No record | — | — | — | — |
| 2026-10-12 · No record | — | — | — | — |
| 2026-10-13 · No record | — | — | — | — |
| 2026-10-14 · No record | — | — | — | — |
| 2026-10-15 · No record | — | — | — | — |
| 2026-10-16 · No record | — | — | — | — |
| 2026-10-17 · No record | — | — | — | — |
| 2026-10-18 · No record | — | — | — | — |
| 2026-10-19 · No record | — | — | — | — |
| 2026-10-20 · No record | — | — | — | — |
| 2026-10-21 · No record | — | — | — | — |
| 2026-10-22 · No record | — | — | — | — |
| 2026-10-23 | 0 | 0 | 0 | 0 |
| 2026-10-24 | 0 | 0 | 0 | 0 |
| 2026-10-25 | 0 | 0 | 0 | 0 |
| 2026-10-26 | 0 | 0 | 0 | 0 |
| 2026-10-27 | 0 | 0 | 0 | 0 |
| 2026-10-28 | 0 | 0 | 0 | 0 |
| 2026-10-29 | 0 | 0 | 0 | 0 |
| 2026-10-30 | 0 | 0 | 0 | 0 |
| 2026-10-31 | 0 | 0 | 0 | 0 |
| 2026-11-01 | 0 | 0 | 0 | 0 |
| 2026-11-02 | 0 | 0 | 0 | 0 |
| 2026-11-03 | 0 | 0 | 0 | 0 |
| 2026-11-04 | 0 | 0 | 0 | 0 |
| 2026-11-05 | 0 | 0 | 1 | 0 |
| 2026-11-06 | 0 | 0 | 0 | 0 |
Source evidence
Sources in the evidence shown：Hacker News 1
Hacker News · Published Oct 8, 2026
Show HN: Open-Source DaiDocs now beats Graphify by 218x low tokens, 83% on LME
We have been working on making an Open-Source standard documents for AI LLM's and Agents. Just like an excel file, .dai (Document AI) is a new standard to keep memory local and use with any AI agents and LLM's. This new standard comes with lots of features such as more than 10x tokens savings (tested on LongMemEval-S) when comapred the .dai to raw files and
View source record →
Review priority 40 / 100
This score orders research candidates. It is not search volume, a forecast or verified commercial demand.
Evidence
8 / 30Distinct dated articles or first observations; repeat crawling adds nothing.
Publisher diversity
8 / 25Conservative owner grouping; syndicated copies count once.
Comparable change
0 / 20Comparable complete weeks only; no percentage from a zero baseline.
Recent evidence
14.3 / 15Latest publication or first observation, not repeated fetch time.
Name specificity
10 / 10Explicit entities and technical concepts outrank ambiguous acronyms.
Limitations and interpretation
- First observation is a collection milestone, not proof that a word or product is new to the world.
- Counts describe monitored public sources, not the whole web or search demand.
- First observed here is not the invention date of a name or idea.
- Candidates come from public titles, summaries and entity URLs, not verified full-text analysis.
- Owner grouping is conservative; undisclosed syndication may remain.
- Both weeks need adequate, comparable collection coverage.
- The previous week is too small for a reliable percentage change.
- Current evidence comes from one publisher or owner.