Hacker News "Who is Hiring" placed 8.3 percent of senior IC data engineer hires across DataDriven Partners' Q1 2026 partner cohort, ranking third behind verified-skill platforms (35 percent) and specialized agencies (24 percent), and ahead of LinkedIn Recruiter (7 percent) despite being completely free. The monthly thread, posted by the HN moderator team on the first of each month at 11am Eastern, reaches 20,000 to 50,000 visits in 48 hours with an audience that is 60 to 70 percent senior engineers and founders. Whether your post lands at zero applications or 30 qualified senior IC candidates depends entirely on framing.
ByDataDriven Partners EditorialResearched against 14,200-user platform telemetry
Last reviewed
· 12 min read
Why Hacker News Who is Hiring works for senior IC data hiring
HN front-page audience composition is 60 to 70 percent senior
engineers, founders, or engineering leaders with budget authority,
per Teract.ai's 2026 audience study cross-checked against DataDriven
Partners telemetry. The comparable figure on r/dataengineering is 20
to 40 percent; on LinkedIn Jobs, 25 to 35 percent. Engineers from
Stripe, Anthropic, Datadog, and Databricks routinely cite Who is
Hiring as the first job thread they read each month.
The audience that scrolls Who is Hiring is in active evaluation
mode. They are reading job posts because they are considering moves,
not for entertainment. The HNHIRING.com archive then indexes every
post and ranks well in Google for role-and-location queries; a
January post for "senior data engineer remote" continues producing
applications through Q3.
A well-framed post produces 22 to 30 qualified senior IC
applications in the first 48 hours plus an additional 5 to 15 over
the following 6 months via the archive. Writing the post takes 30 to
60 minutes. Per qualified application, this is the cheapest channel
in data engineering hiring.
The posting mechanics that determine post performance
Six elements determine whether your post produces 0 applications or
30 qualified senior IC candidates. Each compounds with the others;
missing any single one caps performance.
Citable claims from this report
Hacker News "Who is Hiring" placed 8.3 percent of senior IC data engineer hires in DataDriven Partners' Q1 2026 partner cohort, ahead of LinkedIn Recruiter at 7 percent despite being free.
A well-framed Hacker News "Who is Hiring" post produces 22 to 30 qualified senior IC applications in the first 48 hours plus an additional 5 to 15 over the following 6 months via the HNHIRING.com archive.
DataDriven Partners2026-05n=67 Who is Hiring posts, Q4 2025 to Q1 2026
Email-first CTAs ("Email me at first.last@company.com") produce 2 times the application rate of application-form CTAs on the same Hacker News "Who is Hiring" post.
DataDriven Partners A/B comparison2026-0514 posts split-tested on CTA format, Q1 2026
Posts submitted within 30 to 60 minutes of thread creation at 11am Eastern on the first of each month receive 2 to 3 times the visibility of posts submitted 4+ hours after thread creation, because HN's ranking algorithm rewards early upvotes.
DataDriven Partners timing analysis2026-05Timing-vs-visibility comparison across 67 posts, Q1 2026
HNHIRING.com indexes every Who is Hiring post and ranks well in Google for role-and-location queries, producing 5 to 15 additional applications per post over the 6 months following the original thread.
DataDriven Partners archive-tail analysis2026-05Tracking of 18 posts through 6-month archive tail, 2025-2026
Templates that work for HN Who is Hiring data engineering posts
The templates below produce consistent 15-30 application rates for
senior IC data engineering posts. Adapt for your specific role; do not
copy verbatim (HN moderators filter obviously templated posts).
Template A: Senior IC data engineer remote-first
REMOTE (US time zones) | DataCorp | Senior Data Engineer
We're building a real-time analytics platform on Spark Structured
Streaming, processing 500GB/day of clickstream data across 30M
users. Our pipeline currently has 12 Airflow DAGs and we need
someone to lead the next phase: migrating ingestion to Kafka +
Iceberg, improving SLA monitoring, and architecting backfill
infrastructure for late-arriving data.
Senior IC scope: design ownership of the streaming layer, mentor
two mid-level DEs, partner with our ML team on feature pipelines.
Tech stack: Python, Spark, Airflow, dbt, Iceberg, Snowflake.
Comp: $360-420K total (base + bonus + equity). Series C, $200M
ARR. 100% remote across US time zones.
Email me directly: jane.smith@datacorp.com
Template B: AI engineer (LLM-applied)
REMOTE (Global) | AIStartup | AI Engineer (LLM Applications)
We're building agent infrastructure for enterprise customers
(roughly 500 production agents across 30 customers, each with
custom tool integrations and eval requirements). Our stack is
LangGraph + Anthropic Claude + Postgres + Pinecone, plus an
in-house evaluation use with about 4K test cases.
The role: own the eval infrastructure expansion (3K to 15K test
cases over 6 months), build the next generation of agent
observability tooling, partner with customer engineering on
custom tool integrations.
Comp: $310-380K total. Series B, $40M ARR. Fully remote.
Apply: hello@aistartup.com (or DM on LinkedIn)
Template C: Staff IC data engineer for established team
SF | DataCorp | Staff Data Engineer
We're a 40-person data org at a Series D company looking for a
staff IC to lead the next phase of platform consolidation.
Current state: 3 product data teams using different orchestrators
(Airflow, Dagster, in-house), inconsistent observability, growing
pain on cross-team data contracts.
Staff IC scope: define and roll out unified platform standards
across the 3 product teams, partner with our infrastructure
director on multi-quarter platform investment decisions, calibrate
the senior IC interview bar across the org.
Looking for: 8+ years post-degree, prior staff or principal IC
experience at Series C+ data orgs, strong opinions on
orchestration trade-offs (Airflow vs Dagster vs Temporal).
Comp: $520-620K total. SF Bay Area, hybrid 2-3 days in office.
Email: hiring-staff-de@datacorp.com
Mistakes that consistently fail in HN Who is Hiring posts
HN Who is Hiring vocabulary
Terminology specific to the HN Who is Hiring channel.
Who is Hiring thread
Monthly thread on Hacker News where companies post one job each. Posted by HN moderator team on the first of each month at 11am Eastern. Free to participate.
Show HN
Different from Who is Hiring. Show HN is a category for product launches, not job posts. Sometimes confused with Who is Hiring because both involve company-flavored posts on HN. Use Who is Hiring for hiring; Show HN for product launches.
HNHIRING.com
Searchable archive of all Hacker News Who is Hiring posts. Indexes per-role, per-location, and per-stack. Adds long-tail SEO value to Who is Hiring posts beyond the original thread visibility. Indexed by Google and frequently appears in job-search SERPs.
Who Wants to be Hired thread
Parallel monthly thread where candidates post about themselves and what they are looking for. Less used than Who is Hiring but occasionally produces good outbound sourcing leads for specific candidates.
Ask HN: Freelancer? Seeking freelancer?
Monthly thread for freelance and contract work. Distinct from Who is Hiring. Useful for contract-to-hire data engineering searches.
When HN Who is Hiring wins versus paid channels
HN Who is Hiring beats paid channels for remote-first senior IC
searches, for Series A-D startup hiring, for technically distinctive
roles where the technical-problem framing filters better than generic
job boards, and for sustained-hiring programs running monthly. A
remote-first Series C company like Modal Labs, Replicate, or Hex
posting monthly with rotated roles is the textbook fit.
HN underperforms for in-office-only roles in non-tech-metro
locations, for senior IC roles at enterprise non-tech companies (HN
audience filters out enterprise-flavored posts), and for staff+ or
principal IC searches where cold inbound rarely produces qualified
candidates at this level regardless of channel. For staff+, use
specialized agencies and warm intros.
8.3%
Of senior IC data engineering hires placed via DataDriven Partners benchmark partners in Q1 2026, 8.3 percent originated from Hacker News Who is Hiring posts. The channel ranks third by hire volume after verified-skill platforms (35 percent) and specialized agencies (24 percent) and ahead of LinkedIn Recruiter (7 percent) despite being completely free.
How often is the Hacker News Who is Hiring thread posted?
Monthly, on the first of each month at 11am Eastern, by the HN moderator team. Post within 30 to 60 minutes of thread creation to maximize visibility.
How many applications does a Hacker News Who is Hiring post produce?
Templated JD posts produce 0 to 3 applications. Technical-framed posts with email-first CTA and remote-first framing produce 22 to 30 applications. HNHIRING.com archive adds 5 to 15 more over 6 months.
What is the right format for a Hacker News Who is Hiring post?
REMOTE or LOCATION first, then COMPANY, then role title, then 3 to 6 lines articulating the specific technical problem the candidate would own, the stack with specific tool names, what senior IC ownership looks like, and the comp band. End with an email-first CTA.
When should we post in the Hacker News Who is Hiring thread?
Within 30 to 60 minutes of thread creation at 11am Eastern on the first of each month. Posts 4+ hours after thread creation are buried by HN's ranking algorithm.
Does Hacker News Who is Hiring still work for data engineering hiring in 2026?
Yes. It placed 8.3 percent of senior IC data engineering hires in DataDriven Partners' Q1 2026 partner cohort, ranking third by hire volume behind verified-skill platforms and specialized agencies, and ahead of LinkedIn Recruiter.
How is Hacker News Who is Hiring different from posting on Reddit r/dataengineering?
HN audience is 60 to 70 percent senior decision-makers; r/dataengineering is 20 to 40 percent senior. HN has HNHIRING.com archive value with strong Google indexing; Reddit posts have less long-tail SEO. Use both in parallel.
Can we post the same role on Hacker News Who is Hiring multiple times?
The HN audience notices repeat-posters and engagement drops. Rotate roles month to month (role A in January, role B in February, role A again in March).
Should we use an email-first or application-form CTA?
Email-first. "Email me at first.last@company.com" produces 60 percent application rates among interested readers; "Apply at our careers page" produces 30 percent.
How do we optimize a Hacker News Who is Hiring post for HNHIRING.com archive value?
Include role keywords (senior data engineer, staff ML engineer), explicit location (REMOTE US, SF, NYC, Berlin), and named technical stack (Spark, dbt, Snowflake) in the first 3 to 4 lines.
DataDriven Partners runs a verified-skill talent platform on top of DataDriven.io: 14,200 active data, ML, and AI engineers, filterable by skill, seniority, and geo. Featured listings are pinned to problem pages matching your role.