# Salesforce Developers (@SalesforceDevs) on x

- id: koinon:creator:x_salesforcedevs
- url: https://koinonlink.com/kol/x/SalesforceDevs
- schema_version: 1.4

## Identity
- platform: x
- handle: SalesforceDevs
- platform_url: https://twitter.com/SalesforceDevs
- website: https://developer.salesforce.com
- country: United States
- entity_type: creator
- person_id: koinon:person:youtube_salesforcedevs

## Reach
- followers: 121069
- following: 789
- posts_total: 16703
- posts_observed: 21
- posts_per_day: 2.378
- account_age_days: 7024
- verified: true
- size_tier: kol

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00015
- best_post_interactions: 18
- 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: 0.95
- category_source: derived_from_recent_content
- topics: AI agents与Agentforce, Headless架构, React与Salesforce集成, 开发者活动与codeLive, Salesforce平台资源更新
- bio: Build the Agentic Enterprise. Stay up to date with news and resources for Salesforce Developers.

## Audience (inferred)
- status: present
- description: Salesforce platform developers, primarily frontline technical implementers and integrators
- roles: dev
- seniority: practitioner
- pain_points: How to integrate AI Agents into existing Salesforce environments, Technical implementation of headless architectures and custom React applications, Quickly mastering new tools like Agentforce and finding practical code examples, Keeping up with platform updates and actively participating in development activities
- posts_analysed: 2
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 1
- promotion_intent: 0.7
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 62
- authenticity_basis: engagement_observed
- credibility_score: 97
- 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_salesforcedevs#61f49f67] From AI agents in @SlackHQ to custom React apps, here's what @Salesforce Headless 360 makes possible. ⚡ See how @BACASystems built a headless architecture that: 🔹 Powers AI agents across multiple experiences 🔹 Embeds Salesforce workflows beyond the traditional UI 🔹 Saves time  (https://twitter.com/SalesforceDevs)
- [x_salesforcedevs#4f9f9429] 🤖 Build AI-powered React apps with Agentforce. Join @Salesforce Developer Advocates @msrivastav13 and @DevRelSean for this month's Agentforce NOW codeLive and learn how to: 🔹 Set up a React app on Salesforce from scratch 🔹 Configure an Agentforce Employee Agent with subagents 

## 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=76, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=76, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=76, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=111, 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=111, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=108, 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=111, 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=108, 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=108, method=platform_profile

## Freshness
- profile_checked_days_ago: 108
- content_analysed_days_ago: 111
- audience_updated_days_ago: 76

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