# Zapier (@zapier) on instagram

- id: koinon:creator:instagram_zapier
- url: https://koinonlink.com/kol/instagram/zapier
- schema_version: 1.4

## Identity
- platform: instagram
- handle: zapier
- platform_url: https://www.instagram.com/zapier/
- website: https://zapier.com/million-ai-pledge/?utm_campaign=ig-gbl-awr-ooc-1mpledge-soc&utm_medium=social&utm_source=instagram
- entity_type: creator
- person_id: koinon:person:instagram_zapier

## Reach
- followers: 102820
- following: 507
- posts_total: 28
- posts_observed: 3
- verified: true
- 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: 0.95
- category_source: derived_from_recent_content
- topics: Zapier + AI integrations, Claude Code and MCP setups, SDK automation scripts, AI cost optimization, Agent-building best practices, Zapier events and bootcamps
- bio: Get your software working together, automatically.

## Audience (inferred)
- status: present
- description: AI automation builders, developers, and practitioners integrating tools like Zapier with LLMs such as Claude
- roles: automation
- seniority: practitioner
- pain_points: Wasting money on AI doing jobs better handled by simple automations, Inbox and repetitive tasks eating up time instead of running automatically, Building only basic data-moving automations instead of advanced agent workflows, Keeping up with new AI models, SDKs, and integration patterns
- posts_analysed: 13
- confidence: 0.4

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

## Quality signals
- authenticity_score: 67
- authenticity_basis: profile_shape_only
- credibility_score: 67
- 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
- [instagram_zapier#7025957d] Never skip integration day (https://www.instagram.com/zapier/)
- [instagram_zapier#22c8e8c8] Your agents don't need rest days, you do
- [instagram_zapier#563887a2] Every muscle needs its own move. Every task, its own model
- [instagram_zapier#477df07c] Want the free guide to cutting AI costs without cutting what AI can do? Comment “AI” and I’ll send it to you. 👇 Stop wasting money by making AI do jobs that don’t need AI. Every time an AI model handles a task, it burns tokens. But things like creating a task, updating a record,
- [instagram_zapier#533fb6cb] Comment “SDK” and I’ll send you the setup prompt and the exact code. My inbox was running my life, so I wrote a tiny script with the @zapier SDK that reads every email and actually handles it instead of just labeling it.. And because the SDK is one consistent interface across 9,0
- [instagram_zapier#ba3a1be0] Comment SDK for the full setup guide. Everyone is talking about Claude Code, but few people show you how to build automations with it. I use Claude Code with Zapier SDK to create workflows that run every day on autopilot, including morning briefings from Gmail, Google Calendar, S
- [instagram_zapier#baec5586] Comment “MCP” to get the link. There are four types of engineers, and most are stuck building automations that just move data around. Level four is when the data reads itself, mine sorts every signup, flags who to DM, and drops a report in my Drive every Monday without me touchin
- [instagram_zapier#264bb611] One of my favorite projects is finally live🧡 This marks my second year with ZapConnect creating the visual world, images, and videos together with @egeberkina, while working closely with the incredible team at @zapier. Huge thanks to @juliafiska for dreaming up such a cool conce

## 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=68, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=68, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=68, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=68, 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=68, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=103, 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=68, 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=103, 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=103, method=platform_profile

## Freshness
- profile_checked_days_ago: 103
- content_analysed_days_ago: 68
- audience_updated_days_ago: 68

## AI retrieval
- indexing_requests: 10
- 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=instagram_zapier
- Request removal: https://koinonlink.com/claim?k=instagram_zapier
- Terms: https://koinonlink.com/for-ai