Developer tools

Where to find customers who are backend developers

Backend developers are easiest to find when p99 latency, a queue, or a database invoice is the villain — not when they are posting a Hello World API. They compare Postgres extensions, argue about Redis eviction, and ask which queue will not lose a payment event at 2am. If you sell a database, a cache, an API gateway, tracing, a job runner, auth that is not a weekend project, or anything that sits behind the load balancer, find them in r/backend, r/golang, r/node, r/PostgreSQL, HN, and G2 threads on MongoDB, Redis, and APM tools. Ignore leetcode and bootcamp API tutorials. Hunt comments that name a lock, a connection pool, or a vendor that surprised them on storage. That is switching intent with production traffic, not a student building CRUD.

Where backend developers actually hang out

These are the rooms where backend developers ask for recommendations, compare tools, and name the competitor they want to leave. Start here before you buy ads.

Redditmid-size, high signal
r/backend
This is the general watering hole for people who own APIs and jobs. Threads titled 'our Redis bill is now the product' or 'we need exactly-once without becoming a Kafka shop' are buying notes. Commenters compare queues, ORMs, and auth providers with enough traffic numbers that you can tell whether your product is a fit. Search for named databases plus 'too expensive,' 'lost messages,' and 'connection limits.'
Rules gotcha: Homework and 'which language should I learn' posts are noise. Do not drop a landing page into a beginner thread. Disclose if you work for a database or queue vendor.
Redditlarge, database-specific
r/PostgreSQL
Postgres threads concentrate intent that general backend subs dilute. People ask which pooler survived PgBouncer drama, which hosted vendor locked them on IOPS, and whether logical replication is a product or a science project. A named host plus 'storage overage' or 'failover took 20 minutes' is a buyer describing the job. Extensions, backups, and row-level security threads often end in a vendor comparison.
Rules gotcha: The room is allergic to 'Postgres is dead, use our NewSQL' pitches. Help with EXPLAIN first. Never imply they should leave Postgres unless they asked.
Redditlarge, production-oriented
r/golang
Go developers often own the hottest path: payments, ingestion, proxies. They ask which tracing library will not allocate in the hot loop, which queue client is sane, and whether to replace a homegrown worker. Named libraries plus p99 and allocation talk are switching signals. If you sell infra that a Go service would call, this room's complaints are closer to production than language-agnostic subs.
Rules gotcha: Show-your-project Friday is not a license to spam. Reply in performance and ops threads. Do not paste a 'we rewrote it in Go' marketing post.
Hacker Newsvery large, skeptical
Hacker News database and queue threads
Backend developers still treat HN as the place to ask whether a hosted Postgres is a trap, whether to build the queue, and which APM just billed them into a corner. The gold is not Show HN launch day. It is the comment where someone names RDS IOPS, Redis eviction, or a Kafka bill that exceeded the service it served. 'Ask HN: what are you using for background jobs in 2026?' is a buying committee with a card.
Rules gotcha: Anything that reads like marketing gets flagged. No tracking links. Answer the consistency or latency question in the comment itself.
YouTubelong-tail comments
Backend and database war-story videos
Talks about connection pooling, outbox patterns, and 'we moved off Mongo' collect comments from people copying the architecture and people who already hate a host in the video. Those comments name IOPS, storage overages, and failover SLAs. Search for RDS, Redis, Kafka, and 'exactly-once' and read the comments, not just the talk.
Rules gotcha: Product links under someone else's architecture video get hidden. Answer the commenter's constraint — RPO, p99, storage class — in text.
Reviewsdecision-stage
G2 reviews of MongoDB, Redis, and APM tools
When a backend engineer or their manager reviews a database or APM product, they are usually mid-switch. Filter 2–3 star reviews of MongoDB Atlas, Redis Cloud, Elastic APM, New Relic, or a queue SaaS. Cons paragraphs name connection limits, surprise storage, missing backpressure, and dashboards that assume a frontend user. Use substitutes as a map of the comparison you should monitor.
Rules gotcha: Do not astroturf. Vendor replies on-platform are fine when you are named. Do not email reviewers because they mentioned IOPS.
Xreal-time incident energy
Backend ops on X
X is where backend developers live-tweet a lock storm, a cache stampede, or a host that throttled them during a launch. Quote-tweet chains that name the replacement are warmer than intent data. Search live for vacuum, failover, poison queue, and the incumbent in your category. A public reply with a concrete knob to turn beats a brand voice.
Rules gotcha: Do not dunk on someone's outage. Public architecture disagreement is fine; ratioing a team during an incident is how you get screenshotted.

How backend developers talk about their problems

Search and replies land when you use their words, not your category name. These phrases show up in threads when they are close to buying or switching.

p99 latency
connection pool exhaustion
Redis eviction surprise
exactly-once delivery
poison queue
RDS IOPS throttle
outbox pattern
logical replication lag
hot partition
we are not a Kafka shop
storage overage

What backend developers complain about — and what that means

PainHuntr classifies conversations by intent: actively asking, comparing, frustrated, discussing, or a passing mention. The quotes below are the shape of demand, not a promise that a specific post is live today.

Frustrated
“RDS IOPS throttled us during a launch and the 'just bump the instance' advice would double the bill. I need predictable storage and a failover I can explain to the on-call doc.”
r/PostgreSQL hosting threads, G2 cons on managed databases, and X outage postmortems.
Comparing
“Sidekiq vs SQS vs 'please not Kafka.' We have payment events, retries, and a team of six. Exactly-once would be nice. Becoming a streaming platform would not.”
r/backend job-queue threads, Ask HN background-job posts, and YouTube comments under outbox-pattern talks.
Actively asking
“Need tracing that does not allocate like crazy in a Go hot path and does not bill us per span like the APM we just left. OpenTelemetry is fine if someone else runs the backend.”
r/golang performance threads, HN APM comment chains, and Discord/help channels attached to tracing projects.
Discussing
“We added Redis 'just for sessions' and now it is a second source of truth with eviction we do not understand. Every cache library assumes we have a dedicated Redis person.”
r/backend architecture threads and slower Twitter/X conversations after a cache-stampede post.

Search queries that surface backend developers in buying mode

Paste these into Google, Reddit, or X search. They are the manual version of what PainHuntr runs when you paste a product URL.

site:reddit.com/r/backend (Redis OR Kafka OR Postgres OR SQS) (expensive OR lost OR alternative)

site:reddit.com/r/PostgreSQL (RDS OR IOPS OR "too expensive" OR failover OR switched)

site:news.ycombinator.com "Ask HN" (background jobs OR Postgres OR Redis) (alternative OR cheaper)

(backend OR "go service" OR postgres) ("we moved off" OR "IOPS" OR "eviction") (too expensive OR migrating)

site:g2.com (backend OR database) (cons) (Redis OR MongoDB OR "connection")

site:youtube.com (postgres RDS OR kafka) (expensive OR alternative OR regretted)

How to reach backend developers without getting ignored

Lead with the failure mode they already named — IOPS, eviction, lost messages, p99 — and put the relevant sentence first. Backend developers reward people who have been in a lock storm, not a brand that says 'scale effortlessly.' A query plan, a backpressure note, or a pricing example at their QPS beats a deck. Never ask them to hop on a discovery call from a Postgres thread. Offer a public architecture note, a migration checklist, or a sandbox with a noisy-neighbor dataset. If you sell usage-based infra, show the bill at their volume. Follow up in the same thread. Do not scrape usernames into a sequence. The fastest way to get banned is pitching a NewSQL rewrite into a thread about vacuum settings.

Frequently asked questions

Are backend developers the same buyer as DevOps engineers?

They share incidents and still buy different tools. Backend developers own the service, the schema, and the queue semantics. DevOps owns the cluster, the pipeline, and the pager rotation. Pitching a Kubernetes cost tool into a poison-queue thread will miss. Pitching an ORM into a Datadog cardinality thread will miss. Use both pages, but keep the stories separate.

Where do backend developers complain about hosted databases and queues?

r/PostgreSQL, r/backend, r/golang, G2 cons, and HN when a bill or an outage lands. X during the incident. YouTube comments under RDS and Kafka talks. Watch for IOPS, eviction, and 'we are not a Kafka shop' as buying criteria.

Should I hang out in language Discords?

Only if your category already comes up and you will answer questions for months. Most language Discords treat a new account dropping a URL as spam. Public Reddit, HN, and G2 are easier to monitor at scale. Pick one Discord if you have a genuine integration, not a lead list.

How do I tell a tutorial poster from a buyer?

Look for production traffic, a named host, a p99, a lost message, or a bill. 'How do I make a REST API' is not a buyer. 'Payment events retried twice and we double-charged' is a buyer. PainHuntr's asking, comparing, and frustrated labels exist for that cut.

What should I paste into PainHuntr if I sell to backend developers?

Your product URL plus the incumbent they already run — RDS, Redis, MongoDB, Kafka, a named APM. The engine looks for people asking for a replacement, comparing queues and databases, and venting about a lock or an overage. Pair that with the queries on this page if you still want to hunt by hand.

Related audiences

Reading 1,000 threads a month doesn't scale. PainHuntr does.

Paste your product URL. PainHuntr finds the conversations where backend developers ask, compare, and complain on Reddit, X, Hacker News, YouTube, and review sites — then helps you reply, track what worked, and do it again.

Join the waitlist to get early access and help shape the product.