# Y Combinator (@ycombinator) on threads

- id: koinon:creator:threads_ycombinator
- url: https://koinonlink.com/kol/threads/ycombinator
- schema_version: 1.4

## Identity
- platform: threads
- handle: ycombinator
- platform_url: https://www.threads.net/@ycombinator
- website: http://ycombinator.com/
- entity_type: creator
- person_id: koinon:person:threads_ycombinator

## Reach
- followers: 75561
- posts_observed: 1
- verified: true
- size_tier: koc

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.0022
- best_post_interactions: 166
- measurement_source: threads_post_likes
- measurement_formula: likes on one post (Threads exposes no reply or repost count on this path)
- 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: saas
- category_confidence: 0.85
- category_source: derived_from_recent_content
- topics: YC applications and calls to apply, Founder advice and conviction, Startup School events and speakers, Early founder journeys (e.g. Scale AI)
- bio: Funding startups since 2005

## Audience (inferred)
- status: present
- description: Aspiring startup founders and early-stage entrepreneurs seeking YC funding or programs
- roles: none
- seniority: learner
- pain_points: Deciding whether and how to apply to accelerators like YC, Building personal conviction amid startup noise and uncertainty, Finding relatable founder stories and application signals
- posts_analysed: 3
- confidence: 0.4

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

## Quality signals
- authenticity_score: 95
- authenticity_basis: engagement_observed
- credibility_score: 95
- flagged_for_review: false
- koinon_bd_grade: A — 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
- [threads_ycombinator#014e1e43] Alexandr Wang's advice to his 18-year-old self: develop your own internal compass for how the future will unfold, and hold conviction in it against the noise. At Startup School 2026, the Scale AI (YC S16) founder — now leading Meta's Superintelligence Labs — talks with Garry Tan  (https://www.threads.com/@ycombinator/post/DVgdbwBjtvz)
- [threads_ycombinator#44cf4775] consider this a sign ycombinator.com/apply
- [threads_ycombinator#aea91e87] We're excited to announce Alexandr Wang (@alexanddeer) as a keynote speaker at Startup School! Alex founded Scale AI at 19 after leaving MIT, and built it into critical infrastructure for training the world's most powerful AI models. In 2025, he joined Meta as Chief AI Officer, w

## 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=67, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=67, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=67, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=78, 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=78, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=111, 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=78, 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=111, 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=111, method=platform_profile

## Freshness
- profile_checked_days_ago: 111
- content_analysed_days_ago: 78
- audience_updated_days_ago: 67

## AI retrieval
- indexing_requests: 8
- 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=threads_ycombinator
- Request removal: https://koinonlink.com/claim?k=threads_ycombinator
- Terms: https://koinonlink.com/for-ai