# Jeremy Lasne (@JeremyLasne) on x

- id: koinon:creator:x_jeremylasne
- url: https://koinonlink.com/kol/x/JeremyLasne
- schema_version: 1.4

## Identity
- platform: x
- handle: JeremyLasne
- platform_url: https://twitter.com/JeremyLasne
- website: https://jeremylasne.com
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 1636
- following: 182
- posts_total: 8138
- posts_observed: 2
- posts_per_day: 2.306
- account_age_days: 3529
- verified: true
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00611
- best_post_interactions: 10
- 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: app
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: Mobile app development and shipping, App marketing, ads and UGC, Analytics tools like PostHog, Fast launching and hackathons, AI coding assistants
- bio: 📱 I build mobile apps and love learning about it

## Audience (inferred)
- status: present
- description: Indie mobile app developers and solo builders focused on launching, marketing, and iterating on their apps
- roles: dev
- seniority: practitioner
- pain_points: App onboarding flows converting poorly, Weak App Store screenshots and visuals hurting downloads, Deciding when and how to spend on UGC/Apple Ads, Hitting rate limits on AI tools like Claude during development
- posts_analysed: 5
- 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: 72
- authenticity_basis: engagement_observed
- credibility_score: 72
- 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
- [x_jeremylasne#dd7c7c4e] I have cash ready to scale with UGC right now. Not touching it yet. Why? > PostHog and Apple Ads told me : my onboarding sucks, and so do my screenshots. Spending on creators before fixing that just burns money. The plan: - Fix onboarding and screenshots first. - Improve conversi (https://twitter.com/JeremyLasne/status/2071996571000934749)
- [x_jeremylasne#1865d6d4] Moody Clood in construction 🚧 #shipaton https://t.co/Jc2Sb9o5Ag
- [x_jeremylasne#1250230c] Preparing myself for the future of the economy https://t.co/KzGQr1vEA1
- [x_jeremylasne#a0dddc24] The faster you launch the better ! > Why ? because you can do a tone of marketing But, do not miss this hackathlon, if you did not submit it's fine, we all have our chances ! (just do not submit in the 2 last weeks, apple takes TIME) https://t.co/cmlaNufLzE
- [x_jeremylasne#ba3a4f27] Claude: You've hit your weekly limit ·

## 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=110, 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=110, 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=110, method=platform_profile

## Freshness
- profile_checked_days_ago: 110
- content_analysed_days_ago: 78
- audience_updated_days_ago: 78

## 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=x_jeremylasne
- Request removal: https://koinonlink.com/claim?k=x_jeremylasne
- Terms: https://koinonlink.com/for-ai