Tell me what just broke.
In plain English. In seconds.
StackSift watches your logs, fires alerts when something cascades, and explains the root cause with AI — built for solo devs and small teams, priced for them too.
[ERROR] 2026-03-27 02:14:33 NullReferenceException at UserService.cs:142 [WARN] 2026-03-27 02:14:33 Redis connection timeout after 30000ms [ERROR] 2026-03-27 02:14:34 Database query exceeded timeout (pool exhausted) [ERROR] 2026-03-27 02:14:34 NullReferenceException at UserService.cs:142 [ERROR] 2026-03-27 02:14:34 NullReferenceException at UserService.cs:142 ... 395 more lines ...
45 minutes to 3 hours. Average time to root cause. At 2 AM. On a Tuesday.
How it works
- 01Connect
Add the Serilog sink (.NET) or Winston transport (Node.js) to your app in ~5 lines. Or POST JSON directly with curl — full API reference in the docs.
- 02Stream
Logs flow in, your dashboard updates live, and alerts fire on the patterns you care about.
- 03Resolve
Click Analyze with AI on any incident. ~8 seconds later you have a root cause and a fix.
90 seconds. The whole pitch.
A real local stack. Real OpenAI call. No edits, no cuts. Captions on by default; transcript below.
›Transcript
Four things, done well.
See errors the moment they happen — no F5, no SSH-tail.
SignalR + Redis backplane
Threshold and pattern rules. No PromQL.
LogBatchConsumer rule evaluation
gpt-4o-mini turns 400 log lines into one paragraph.
RAG pipeline · ai-rag-architecture.md
Every resolved incident teaches the AI about your system.
pgvector HNSW cosine top-3
Why not just use Datadog?
Because you’re not their customer. We’re not theirs either.
| Datadog / New Relic | StackSift | |
|---|---|---|
| Designed for | 50-engineer teams with SRE | Solo devs · 2–8-engineer teams |
| Time to first useful insight | A week of config | 10 minutes |
| Monthly cost (small team) | $500–$5,000 | $0–$79 |
| Root-cause explanation | “Here’s a graph” | “Here’s a paragraph that names the bug” |
| Integration | Proprietary agent | Open-source SDKs (Serilog, Winston) + plain HTTP |
Pricing that fits in your Stripe statement.
No credit card to start. The SDKs are open source. Cancel any time.
- Unlimited projects
- 90-day retention
- Unlimited AI analyses
- Unlimited users + roles
We’re a 3-person team. Your money goes into making this better, not into a sales department.
Trust, by design.
Per-org Postgres rows, per-org Elasticsearch indices, per-org S3 key prefixes, per-org SignalR groups. You cannot see another tenant’s data even if a bug tries.
Industry-standard OIDC + PKCE. Tokens never touch JavaScript — only an HTTP-only session cookie.
Read the code before you ship it. StackSift.Serilog.Sink (NuGet) and @stacksift/winston-transport (npm) — both MIT-licensed on GitHub.
Questions, before you start.
How is this different from Datadog?+
Cheaper, simpler, and the AI summary is built in — not an add-on. We’re designed for one engineer; Datadog is designed for fifty.
How do I send logs to StackSift?+
Three options. (1) Official Serilog sink for .NET apps — five lines of LoggerConfiguration. (2) Official Winston transport for Node.js apps — one transport added to your existing logger. (3) Direct HTTP POST from any language — full curl recipe and API reference in the docs. All three hit the same /api/v1/logs/ingest endpoint.
What happens if I exceed the AI-analysis cap?+
The Analyze button returns a graceful 402 and an upgrade nudge. Nothing else breaks. You upgrade in-app or wait until the month resets.
Do I need to change my application code?+
Yes, lightly. You add the StackSift sink or transport to your existing logger (Serilog or Winston) — about five lines. We do not run an agent on your servers and we do not tail files from disk.
How is my data isolated from other customers?+
Every entity carries an OrganizationId enforced at the repository level. Elasticsearch indices are per-org. S3 keys are namespaced per-org. SignalR groups are scoped per-project. Verified by integration tests.
Can I delete my data?+
Yes. Account deletion hard-deletes all rows, ES indices, and S3 objects. No tombstones.