# Temporal (@temporalio) on x

- id: koinon:creator:x_temporalio
- url: https://koinonlink.com/kol/x/temporalio
- schema_version: 1.4

## Identity
- platform: x
- handle: temporalio
- platform_url: https://twitter.com/temporalio
- website: http://temporal.io
- country: United States
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 10209
- following: 54
- posts_total: 2326
- posts_observed: 15
- posts_per_day: 0.927
- account_age_days: 2509
- verified: true
- size_tier: koc

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00078
- best_post_interactions: 8
- 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: 0.96
- category_source: derived_from_recent_content
- topics: Durable execution in distributed systems, Fault-tolerant workflow design, Scaling stateful operations at massive volume, Building reliable backend infrastructure for subscription bi, Developer productivity in complex distributed environments
- bio: Open source durable execution system. Write code that’s fault tolerant, durable, and simple. Used by @stripe @netflix @datadoghq @snapchat and many others.

## Audience (inferred)
- status: present
- description: Backend engineers and SREs at scale-up tech companies, primarily focused on building fault-tolerant, durable distributed systems
- roles: dev
- seniority: practitioner
- pain_points: Struggling with managing high-volume, complex workflows that are prone to failure under load, Spending excessive time debugging and recovering from system failures in distributed environments, Dealing with inconsistent or unreliable execution of long-running business logic across microservices
- posts_analysed: 3
- 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: 67
- authenticity_basis: engagement_observed
- credibility_score: 82
- 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_temporalio#5ae50ad1] More agents = more chaos. And when you’re dealing with up to 150,000 actions per second, that chaos adds up. In fact, more than 50% of a developer’s time is built around all of the error handling pieces. What if we brought that percentage to 0? Listen to Temporal's Preeti Somal a (https://twitter.com/temporalio/status/2036397639764205579)
- [x_temporalio#3aeb802d] @sharechatapp rebuilt subscription billing on Temporal, moved debit attempt rate from 95% to 99.9%+, and now runs 450 million+ actions a month across all subscription products under India's RBI compliance rules. Read more: https://t.co/P5pJcuJORW https://t.co/wYouGyxy6S
- [x_temporalio#eef3755e] We flashed, assembled, and boxed 2,300 conference badges in two nights for our annual conference, Replay. Six flashing stations, 32 badges per carrier, and a Temporal

## 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=77, 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=77, 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=77, 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: 77
- audience_updated_days_ago: 20

## AI retrieval
- indexing_requests: 9
- 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_temporalio
- Request removal: https://koinonlink.com/claim?k=x_temporalio
- Terms: https://koinonlink.com/for-ai