# Michelle Fang 🌁 (@michelleefang) on x

- id: koinon:creator:x_michelleefang
- url: https://koinonlink.com/kol/x/michelleefang
- schema_version: 1.4

## Identity
- platform: x
- handle: michelleefang
- platform_url: https://twitter.com/michelleefang
- website: https://bit.ly/sfeventslist
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 43106
- following: 437
- posts_total: 8922
- posts_observed: 9
- posts_per_day: 3.899
- account_age_days: 2288
- verified: true
- size_tier: koc

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00146
- best_post_interactions: 63
- 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: devtools
- category_confidence: 0.4
- category_source: derived_from_discovery_path
- topics: SF tech events, Stripe startup programs, Formula 1
- bio: @stripe startups | ✍️ https://t.co/6ZpkX4oDDo

## Audience (inferred)
- status: present
- description: SF tech community members and startup founders building on Stripe (data limited and mixed)
- roles: none
- seniority: decision_maker
- pain_points: finding relevant SF tech events, connecting with Stripe team for product previews
- posts_analysed: 5
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.8
- promotion_intent: 0.6
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 93
- authenticity_basis: engagement_observed
- credibility_score: 93
- 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_michelleefang#c3feac04] If you're new or looking to get more connected to SF tech: bookmark these 45+ irl events 🗓️ A list of what's happening this week (Aug 3 - Aug 10) ⬇️ (https://twitter.com/michelleefang/status/2069083178544107695)
- [x_michelleefang#8f15c76e] https://t.co/FWniKYuMcI
- [x_michelleefang#295e2ce7] If you're new or looking to get more connected to SF tech: bookmark these 45+ irl events 🗓️ A list of what's happening this week (July 27 - Aug 3) ⬇️
- [x_michelleefang#a45e80cf] If you're new or looking to get more connected to SF tech: bookmark these 50+ irl events 🗓️ A list of what's happening this week (July 20 - July 27) ⬇️
- [x_michelleefang#c8d100e7] https://t.co/uWfgbzyHEy
- [x_michelleefang#2b41e7c0] as if mercedes leading the wdc and constructors this szn wasn't great enough - excited for Stripe to enter the grid!! see you in 2027 🏁
- [x_michelleefang#e1a25218] if you're a founder building on @stripe, join us for coworking with the team and private preview demos at build days, coming to: 8/19 - sydney 8/26 - singapore 9/24 - shanghai 9/29 - cdmx drop a 👋 if you're in one of these cities and so i can int

## 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=78, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=78, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=78, 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=120, 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=120, 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=120, method=platform_profile

## Freshness
- profile_checked_days_ago: 120
- content_analysed_days_ago: 78
- audience_updated_days_ago: 78

## AI retrieval
- indexing_requests: 6
- 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_michelleefang
- Request removal: https://koinonlink.com/claim?k=x_michelleefang
- Terms: https://koinonlink.com/for-ai