# Warp (@warpdotdev) on youtube

- id: koinon:creator:youtube_warpdotdev
- url: https://koinonlink.com/kol/youtube/warpdotdev
- schema_version: 1.3

## Identity
- platform: youtube
- handle: warpdotdev
- platform_url: https://www.youtube.com/@warpdotdev
- country: United States
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 113000
- posts_observed: 28
- verified: false
- size_tier: kol

## 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: ai_tools
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: AI 代理与 agentic 开发环境, Warp 终端功能与开源进展, Claude Code / Codex 等工具对比与使用, 软件工程师角色演变与未来, Vibe coding 与代理生成 PR 的实践
- bio: The open platform for automating development. Infrastructure to build, measure, and interact with agents across the SDLC ...

## Audience (inferred)
- status: present
- description: Software developers and engineers, especially those using or following AI agents, terminal tools, and agentic development workflows
- roles: dev
- seniority: practitioner
- pain_points: Fear of AI agents replacing their jobs and uncertainty about future career positioning, How to efficiently select and integrate tools like Claude Code, Codex into daily coding workflows, Traditional terminal tools falling short of new demands like multi-agent parallelism and sandboxed execution, Assessing the long-term sustainability and quality control of vibe coding or agent-generated code
- posts_analysed: 48
- confidence: 0.75

## 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: 58
- authenticity_basis: profile_shape_only
- credibility_score: 58
- 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
- [youtube_warpdotdev#f6237622] This is going to REPLACE Claude Code (https://www.youtube.com/@warpdotdev)
- [youtube_warpdotdev#d2508ddd] Is the software industry cooked?
- [youtube_warpdotdev#eb823a38] What is a software factory? Peter Steinberger explains
- [youtube_warpdotdev#f7dd6d4f] OpenClaw creator blew his token budget on an airfryer
- [youtube_warpdotdev#7ad5eaa6] The best terminal for Claude Code is...
- [youtube_warpdotdev#03734f0d] Neovim is still king 👑
- [youtube_warpdotdev#4e3df378] How many Claude Code tabs are you running right now?
- [youtube_warpdotdev#a34753d7] Every terminal should have this feature #ai #coding #codex

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

- audience.description: source_type=ai_inferred, confidence=0.75, freshness_days=35, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=35, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=35, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=0, 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=0, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=15, 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=0, 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=15, 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=15, method=platform_profile

## Freshness
- profile_checked_days_ago: 15
- content_analysed_days_ago: 0
- audience_updated_days_ago: 35

## AI retrieval
- indexing_requests: 1
- 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=youtube_warpdotdev
- Request removal: https://koinonlink.com/claim?k=youtube_warpdotdev
- Terms: https://koinonlink.com/for-ai