# Jeremy Tregunna (@jtregunna) on x

- id: koinon:creator:x_jtregunna
- url: https://koinonlink.com/kol/x/jtregunna
- schema_version: 1.4

## Identity
- platform: x
- handle: jtregunna
- platform_url: https://twitter.com/jtregunna
- website: https://blog.canoozie.net
- country: CR
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 3031
- following: 1205
- posts_total: 20220
- posts_observed: 1
- posts_per_day: 16.189
- account_age_days: 1249
- verified: true
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00033
- best_post_interactions: 1
- measurement_source: x_post_interactions
- measurement_formula: interactions on one post — likes, or likes + reposts + replies depending on the discovery path (the two are not distinguishable in the stored data)
- comparable_pool: peak_interactions
- status_note: We have only the single best observed post, so no mean exists. peak_post_engagement_rate is an UPPER BOUND, systematically higher than an average — never compare it against an average rate.
- unit_note: engagement_rate and peak_post_engagement_rate are ratios (0-1); avg_interactions_per_post and best_post_interactions are absolute counts. Read status before reading any number: a null rate has several different causes and status says which one applies here.

## Content
- category: software
- subcategory: ai_tools
- category_confidence: 0.8
- category_source: derived_from_recent_content
- topics: AI chess bot development, custom AI performance benchmarking, low-latency AI inference optimization
- bio: A Monday warrier with a mean, mean stride.

I eat glass and look into the abyss.

I don't do TL;DR.

Foldb, WILD, other software.

## Audience (inferred)
- status: present
- description: Independent AI/ML developers and hobbyist programmers building custom AI agents and game-playing bots
- roles: dev
- seniority: practitioner
- pain_points: Struggling to optimize AI model inference speed without sacrificing accuracy, Having difficulty benchmarking custom AI performance against established engines like Stockfish, Limited ability to run deep AI evaluations due to computational constraints
- posts_analysed: 8
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.8
- promotion_intent: 0.9
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 59
- authenticity_basis: engagement_observed
- credibility_score: 59
- flagged_for_review: false
- koinon_bd_grade: B — measures Koinon partner-outreach fit, not creator quality
- interpretation: Signals for triage, not verdicts. A flag means the profile is worth a manual check.

## Evidence
- [x_jtregunna#403a1349] I made a chess bot that plays against stockfish... (https://twitter.com/jtregunna/status/2070920438616666293)
- [x_jtregunna#52a8930d] Over a few games at depth 5... stockfish 18 elo ~1500, and my ai scores:
- [x_jtregunna#2b08778a] 1 win, 1 draw, estimated elo 1691
- [x_jtregunna#35bcb001] 1 draw, 1 loss, estimated elo 1309
- [x_jtregunna#f1472c84] 2 draws, estimated elo 1500
- [x_jtregunna#1273b854] Stockfish got 10 ms per move during its eval to move.
- [x_jtregunna#93ccd471] Mine got 0 ms per move during its eval.
- [x_jtregunna#60935f8e] It's still mostly dumb, doesn't support larger depths than about 8 at this point.

## Provenance
Every inferred field below carries how it was produced. Facts stay facts; inferences stay inferences.

- audience.description: source_type=ai_inferred, confidence=0.4, freshness_days=20, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=20, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=20, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=79, method=llm_scorer — Relative signal within Koinon indexing, not a market-wide score.
- commercial.promotion_intent: source_type=ai_inferred, confidence=0.6, freshness_days=79, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=112, method=profile_snapshot_and_engagement_ratio_heuristic — Means "worth a manual check", NOT confirmed fraud. Flags can be wrong and are not a verdict about the person.
- quality.authenticity_score: source_type=heuristic, confidence=0.5, freshness_days=79, method=Profile-shape heuristic from a single snapshot (follower count, following ratio, account age, posting volume, verification), reduced for engagement red flags where post engagement was collected. Where only a follower count is available the score saturates at 58. — The input set differs by platform; do not compare this score across platforms.
- quality.koinon_bd_grade: source_type=ai_inferred, confidence=0.5, freshness_days=112, method=llm_partner_fit_classifier + fit_score >= 0.6 AND authenticity >= 60 => A; fit_score >= 0.4 AND authenticity >= 45 => B; else C. authenticity < 30 or a promotional-pattern flag => quarantine. — Koinon partner-outreach fit, not creator quality.
- reach.followers: source_type=observed, confidence=0.95, freshness_days=112, method=platform_profile

## Freshness
- profile_checked_days_ago: 112
- content_analysed_days_ago: 79
- audience_updated_days_ago: 20

## AI retrieval
- indexing_requests: 12
- user_triggered_requests: 0
- note: Being indexed in bulk is not the same as being retrieved to answer a question.

## This profile
- Claim or correct: https://koinonlink.com/claim?k=x_jtregunna
- Request removal: https://koinonlink.com/claim?k=x_jtregunna
- Terms: https://koinonlink.com/for-ai