Turn every repair into reusableoperational intelligence.
Machinefixes is the failure and repair intelligence database that turns every breakdown, diagnostic step, and verified fix into compounding operational knowledge — built in Europe for maintenance technicians, reliability engineers, and industrial service teams.
Anonymous · no signup · no payment · 100+ device families indexed.
Work order
Hydraulic press · HP-04
Pressure drop after 90-second hold
“Audible chatter on relief, cylinder does not return to home.”
Ranked procedures
3 candidates · sorted by similarity- 1
Inspect counter-balance valve seat for scoring
verified · past outcome · ~35 min
94%certified - 2
Swap relief cartridge; bench-test at 2,400 psi
verified · past outcome · ~55 min
81%certified - 3
Bleed accumulator pre-charge; verify nitrogen spec
provisional · no outcome yet · ~20 min
62%pending
Sourced from 612 comparable events across 14 plants · updated 2 minutes ago.
Built for the symptom, not the dashboard
comparable-machine matching · outcome-weighted ranking · open citations
How it works
From one closed work order, every next fix gets sharper.
Four steps run continuously, not a quarterly project. The graph grows with every event your team closes.
- Step 01
Type
Type the symptom you’re seeing — and optionally pin the device family. A couple of natural-language words is enough.
- Step 02
Rank
We cross-reference YouTube walkthroughs, iFixit guides, and manufacturer manuals against comparable device families and symptom signatures — not just keyword match.
- Step 03
Verify
Each candidate procedure carries the weight of past outcomes from the source corpus: verified fixes rank above provisional ones, with run-time / parts data attached in line.
- Step 04
Apply
Open the ranked procedures side-by-side with the best YouTube walkthrough and a manual-excerpt PDF for offline reference or to share with a colleague on the floor.
Inside Machinefixes
The human knowledge layer machines never had.
Where sensor-led platforms push vibration and SCADA telemetry, Machinefixes owns the human layer — the improvised workaround, the symptom pattern, the step-by-step repair, and the lesson that survives the next shift change. Every node below links to every other node.
- Cross-industry — plants, fleets, machine families.
- Outcome-weighted — verified fixes outrank provisional ones, always.
- Plain-language — schematics and tooling notes, not raw telemetry.
node · 1
Failure mode
symptom + machine signature
node · 2
Diagnostic step
what was checked
node · 3
Root cause
what was actually wrong
node · 4
Repair procedure
step-by-step fix
node · 5
Outcome
verified or provisional
node · 6
Post-repair lesson
what to watch next time
Every captured work order adds edges between nodes. Similarity is computed across machine family, operating envelope, and symptom signature.
For your team
One knowledge graph, three different mornings.
Find the fix before you’ve opened the cabinet.
Type the symptom you’re seeing — the ranker lines up comparable past repairs so you walk onto the floor already briefed, with the parts list and tooling notes attached.
- ranked diagnostic path
- manual excerpt PDFs
- YouTube walkthroughs
Surface repeat failures on a single query.
Pull the failure-mode graph by machine family, subsystem, or symptom signature across the corpus — what was already tried, what fixed it, and where the workaround still holds up.
- cross-family failure map
- outcome-weighted ranking
- source citations on every step
Knowledge that survives shift handoff.
A senior mechanic’s accumulated fixes stay re-discoverable — measurable as a faster ramp for the next generation of the workforce, without anyone having to re-create the dataset.
- free, anonymous, and ad-free
- monthly corpus ingest
- no account required
The corpus
What the symptom search pulls from.
The numbers below describe the public knowledge graph as it stands today — re-covered each month from the source corpus. No purchases, no team-tier breakdowns.
- 100+
- device families indexed across the corpus
- #1
- primary source: YouTube walkthroughs
- Monthly
- re-ingest refreshes the ranker
Browse our data
Explore & contribute.
Five entry points into the corpus — four to browse what we already know, and one to grow it with the next fix you close on the floor.
Recurring (symptom, fix) pairs across the corpus.
Cross-source failure patterns grouped by machine family — what keeps failing, what fixed it, and which public sources documented it.
What the corpus reaches today.
Device families, subsystems and OEMs the public knowledge graph covers — and where the next monthly ingest is headed.
Failures two or more machines have hit.
Cross-plant failure signals ranked by how many machines each pair has touched — outcome-weighted and source-cited.
Every machine family in the corpus.
Browse the repair corpus by machine family — distinct machines, cumulative work-order volume, and the cross-plant failure patterns that recur across more than one of them.
Submit a fix from the floor.
Found a fix the corpus missed? Submit it in under a minute — the next monthly ingest lifts it into the ranker with you as the source.
FAQ
The questions teams ask first.
And the ones that decide whether Machinefixes stays.
anything else: machinefixes@polsia.app
Next step
Bring the knowledge with you.
Found a fix the corpus missed, or hit one that doesn’t apply? Drop us a line — we re-ingest monthly and every citation points back to its source so the next query benefits as much as yours.
© 2026 Machinefixes. Built in Europe. EU data residency.
Knowledge is sensitive. We treat it that way end-to-end.