Upstream seniority categories on Hiring Velocity and Hiring Trends signals have been updated. First delivery containing these changes: April 7, 2026 (2026-04-07-00-00-00 folder).

Seniority Categories (Breaking)

Removed: non_manager, owner Added: junior, mid_senior

The full data.seniority[].category enum is now: c_level, director, founder, head, junior, manager, mid_senior, partner, president, vice_president.

A new value not_set may also appear for roles where seniority could not be determined.

Customers filtering or grouping by seniority category should update to the new values.

Title Normalization (Additive)

Two new fields have been added to Hiring Velocity and Hiring Trends signals:

These appear in the data object alongside existing sample_titles. Additive — no existing fields modified.

10 new subtypes have been added to news signals, expanding coverage of corporate events, financials, and risk signals. First delivery containing these subtypes: April 28, 2026 (2026-04-28-00-00-00 folder in autobound-news-v3).

These are additive — existing subtypes and schemas are unchanged. Total news subtypes: 40 (up from 30).

Customers ingesting news signals should update any subtype validation or switch logic to accept the new values. See the News schema page for the full subtype list.

Summary

Our S3 delivery pipeline experienced a 29-day sync outage from February 25 to March 26, 2026. During this period, signal data continued to be produced and delivered to GCS buckets normally, but was not propagated to S3 mirrors. This affected all S3 delivery customers.

All missing data has been fully backfilled as of April 16, 2026. We have also upgraded the sync architecture to prevent recurrence.

What happened

• Feb 25: The GCS→S3 sync scheduler was inadvertently removed during infrastructure maintenance
• Feb 25 – Mar 26: S3 mirrors stopped receiving updates. GCS (primary) was unaffected
• Mar 26: Sync pipeline was restored. New data began flowing to S3 again
• Apr 16: Full backfill of all 121 missing deliveries completed across 36 buckets (242 files)

Impacted buckets (36)

What we changed

1. Full mirror architecture: S3 now mirrors every folder in every signal bucket, not just the current day. Any historical gap is automatically caught and filled on the next sync run.
2. GCP-native scheduling: The sync trigger has been moved from an external scheduler to GCP Cloud Scheduler, eliminating the single point of failure that caused this outage.
3. Increased capacity: Cloud Run job memory upgraded from 8GB to 16GB to handle large signal files (e.g., website-intelligence at 13.7GB).
4. Backfill manifest: A backfill manifest (backfill-2026-04-16.json) has been uploaded to s3://autobound-s3-manifests/syncs/ documenting all recovered deliveries.

Action required

None. All missing data is now available in your S3 buckets in the same folder structure and file naming convention as regular deliveries. No changes to your ingestion pipeline are needed.

If you notice any remaining gaps, please reach out in your Slack Connect channel.

Product Reviews Schema Update — v2 Migration

We've updated the Product Reviews signal schema as part of the v2 migration. This update brings structural improvements and a significant increase in data coverage.

Schema Changes

New fields added:

Fields removed:

Record Count Increase

The v2 migration includes a +20% increase in record count due to expanded data source coverage and improved entity matching.

Migration Notes

• All v2 fields follow the standardized signal schema documented in Schema Reference
• The headline field replaces insight with a more concise, actionable format
• No breaking changes to existing integration patterns — new fields are additive (except for the two removed fields noted above)

We are introducing structured second company data to news signals that involve two parties. This applies to M&A, partnership, investment, integration, litigation, and talent movement events.

This is an upcoming change, targeted for early June 2026. We will communicate the exact rollout date in advance. No action is needed until then.

What is changing

News signals for certain event categories naturally involve two companies — an acquirer and an acquisition target, an investor and the company invested in, two partners, etc. Today, only the primary company is delivered as structured data. The second party is only available in the article text, meaning customers need to parse unstructured content to identify who was acquired, who received funding, or who the new partner was.

With this update, a new related_company object will be added to the signal record for all applicable event categories. It follows the same schema as the existing company field.

New field

Which signal subtypes will include related_company

For Executive Departure and Executive Retirement events, the source data only provides the company being left (not the person's new employer). Currently these signals have an empty company object. With this update, the company will be correctly populated.

Expected impact

Based on recent delivery data:

• ~5,000 records per delivery (roughly 24% of all news signals) will include structured second-company data that is currently missing
• ~1,000 Executive Departure/Retirement signals that currently have no company data at all will be populated
• Customers will be able to filter, search, and cross-reference both companies in M&A, partnership, and investment signals without parsing article text

Schema example

{
  "signal_type": "news",
  "signal_subtype": "acquires",
  "company": {
    "name": "Acquirer Corp",
    "domain": "acquirer.com"
  },
  "related_company": {
    "name": "Target Inc",
    "domain": "targetinc.com"
  },
  "data": {
    "signal_name": "Acquisition",
    "summary": "Acquirer Corp has acquired Target Inc for $50M.",
    "category": "acquires"
  }
}

What stays the same

• Signal types without a second party (e.g., Funding, IPO, Launches, Headcount changes) are unchanged. related_company will not be present on those signals.
• Existing company field is not affected. Same schema, same data.
• Delivery schedule and file format are unchanged.

What to update

Once this change goes live, if you ingest news signals, add handling for the optional related_company object. It will be present on the 11 subtypes listed above and absent on all others. No changes are needed for signals that do not include a second company.

TL;DR: Folder names stay the same and represent when the file was uploaded (UTC). Signals between that date and the previous folder should be unique. We now ship stragglers that were previously lost to processing delays. Every signal already has a unique signal_id, so customers who deduplicate on it will automatically get more data with no code changes.

What's changing

Better coverage, more signals.

Our pipeline now tracks each entity individually to ensure signals aren't lost between delivery cycles. Previously, processing delays could cause signals to fall through the cracks permanently. Now they ship in the next available delivery.

This was a silent data loss problem.

Signals that hit processing delays (LLM retries, late third-party data, API failures) would simply never appear. With this change, those signals land in the next batch. Since signal_id is already globally unique, customers who deduplicate on it benefit automatically.

We considered changing folder namingbut decided against it. The current format works and signal-level date fields (e.g. data.filing_date on SEC filings, data.posted_date on LinkedIn posts) handle time-series filtering better than any folder name could. See individual signal schema pages for the relevant date field per signal type.

How to use deliveries

1. Pull the latest folder. Everything inside is new since the previous folder.
2. Deduplicate on signal_id. Globally unique, never repeated across deliveries.
3. For time-series filtering, use the signal's own date field, not the folder name.

What stays the same

• Delivery schedule, frequency, and buckets
• File format (output.jsonl + output.parquet)
• Authentication and service accounts
• Signal schema and field names
• Folder name format (YYYY-MM-DD-HH-MM-SS)

We've standardized schemas across all signal types in the Signal Database, improving field consistency and adding richer company and contact metadata. These changes align with AN-8873 and AN-8861.

What Changed

Schema Standardization (All Signals)

Company objects now include a consistent set of enrichment fields across all signal types:

• company.employee_count_low / company.employee_count_high — employee count range
• company.industries — industry classifications
• company.linkedin_url — LinkedIn company page URL
• company.description — company description

These fields were previously available on some signals but not others. They are now present across all signal types (nullable when data is unavailable).

Field Renames

Several field names have been standardized for consistency:

Structural Changes (SEC 20-F & 6-K)

For 20-F and 6-K signals, signal_category and metrics have moved from top-level fields into the data object:

• signal_category → data.signal_category
• metrics.* → data.metrics.*
• New field: data.llm_call_category — internal LLM classification category
• New field: data.fiscal_year_end — fiscal year end period

Reddit Improvements (AN-8861)

Reddit signals now include several new fields:

• signal_category — high-level category (e.g. buying-intent, product, sentiment, risk, competitive, market, pain-point) derived deterministically from signal_subtype
• data.post_text — full text of the source Reddit post (required on every record)
• data.topics_tags — keyword tags extracted from the discussion (now populated; was previously empty)
• signal_name — human-readable signal label
• batch_id — processing batch identifier
• New subtype: brandReputation (category: sentiment)
• Removed: data.evidence_urls and data.topics_tags with 0% fill rate have been cleaned up — topics_tags is now populated, evidence_urls has been removed

Contact Enrichment (Twitter/X, Work Milestones)

Contact-level signals now include richer contact metadata:

• contact.first_name, contact.last_name, contact.email — added to Work Milestones and Twitter/X (Contact)
• contact.linkedin_url — added to Twitter/X (Contact) and YouTube (Contact)

Bucket Discovery

All service accounts can now list bucket names and folder timestamps across the entire project using gsutil ls -p autobound-signal-delivery — including buckets you are not licensed for. This lets you discover what signal types are available before requesting access. Reading file contents still requires objectViewer on the specific bucket.

Delivery Timeline

• Already live (March 24 delivery): Reddit, SEC 20-F, SEC 6-K, Earnings Transcripts, News, Work Milestones
• Next delivery cycle (April 2026): Product Reviews, Twitter/X, YouTube, LinkedIn Comments, Employee Growth, Website Intelligence, Patents

Schema Documentation

All signal schema pages have been updated. See the Signal Catalog for links to each signal's schema documentation.

Signals shipping with the new schema in April will include a notice at the top of their doc page until the first delivery lands.

All service accounts can now list signal bucket names in the delivery project.

gsutil ls -p autobound-signal-delivery

This returns the names of all available signal buckets. Object-level access still requires per-bucket permissions (unchanged). Buckets you aren't licensed for will return 403 on read.

This replaces the previous workflow where you had to check our Delivery docs to find bucket URIs.

Scope: Only bucket names are visible. No object contents, no IAM policies, and no other GCP resources.

All SEC filing signals, news, and hiring signals are now on weekly refresh — completing the migration from quarterly/monthly.

New signal types (Podcast, Form D, HackerNews, ProductHunt, Conference, Federal Contracts) launch on a daily cadence.

See Signal Catalog for current refresh frequencies.

Based on partner feedback, we shipped several improvements to the hiring velocity and trends signals:

• Time window alignment — Velocity and trends calculations now use consistent lookback periods, resolving discrepancies in company counts between datasets
• 1:1 department mapping — Each open role maps to a single primary department, eliminating double-counting
• Full distribution exposed — Removed the top-5 category cap. All departments, locations, seniority levels, and contract types are now returned, sorted by count descending
• Interpretation guide — Published a Hiring Velocity Interpretation Guide covering how velocity, trends, and breakdown metrics are calculated

These changes are reflected in all deliveries starting March 10, 2026.