# Hauke 🌱🦀 (@haukejung) on x

- id: koinon:creator:x_haukejung
- url: https://koinonlink.com/kol/x/haukejung
- schema_version: 1.4

## Identity
- platform: x
- handle: haukejung
- platform_url: https://twitter.com/haukejung
- website: https://haukejung.de
- country: Germany
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 956
- following: 641
- posts_total: 1357
- posts_observed: 1
- posts_per_day: 0.564
- account_age_days: 2407
- verified: true
- size_tier: nano

## Engagement
- status: not_collected
- status_note: Engagement has not been collected for this creator yet. This is a gap in our collection, NOT a statement that the creator has no engagement. Follower count is known, so it is measurable.
- 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: 0.85
- category_source: derived_from_recent_content
- topics: product development for founders, building and shipping tech products, focus vs. diversification in product strategy, distribution and go-to-market planning, MCP (Model Context Protocol) and AI infrastructure trends
- bio: Quit the safe route. Continuous Learn & Build🧑‍💻 
Shipping @seggwat, https://t.co/9F8zqrFzMJ, https://t.co/zvGLMAhZEY

## Audience (inferred)
- status: present
- description: Founders and indie hackers building tech products, especially those focused on product-market fit and iterative development
- roles: dev
- seniority: practitioner
- pain_points: Struggling to get visibility for their product despite having built it, Having trouble deciding whether to focus on one product or spread attention across multiple projects, Finding it hard to shift from building features to focusing on distribution and user acquisition
- 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: 50
- authenticity_basis: profile_shape_only
- credibility_score: 50
- 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_haukejung#68fc0d71] I built SeggWat to help founders listen to users, then spent months quietly improving it where hardly any founders could find it. Fairly on-brand for a developer. (https://twitter.com/haukejung/status/2072949403233505663)
- [x_haukejung#77a85365] I’ve spent enough Mondays opening the code editor and develop the next feature before talking to anyone. Trying something different this week. If you’re building a small product and figuring out distribution too, say hi. Let’s connect. https://t.co/XqAz81qNqQ
- [x_haukejung#ac148687] Founders with several products: do you market all of them a little, or focus on one until it moves? My head says focus. My GitHub account has other plans.
- [x_haukejung#944b0029] Looked at my projects while planning August. Three are ready. Two are almost there. I clearly don’t need to start another one. August is for distribution. What are your plans?
- [x_haukejung#c71d6783] I was reading the new MCP spec today and had to stop at this: sessions are gone. Every request now carries its own version and capabilit

## 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=80, 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=80, 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=0.25, freshness_days=80, 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: 80
- audience_updated_days_ago: 20

## AI retrieval
- indexing_requests: 11
- 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_haukejung
- Request removal: https://koinonlink.com/claim?k=x_haukejung
- Terms: https://koinonlink.com/for-ai