Show HN: QuantumReckon – find your real cloud and AI spend, including tokens
QuantumReckon is a new tool that reveals the true cost of cloud and AI spending, especially the often-hidden token costs from AI APIs. It connects to multiple cloud and AI providers, performs daily automated sweeps, detects anomalies and waste, and provides auditable evidence with sealed receipts. Validated on the founder's own estate, it identified significant savings.
QuantumReckon — see what your clouds and your AI really cost, with proof
Connects todayAzureAWSGCPHetznerAnthropicOpenAILambdaRolling outLLM gatewaysModalOracle CloudFlyRenderVast
The AI blind spot
Your fastest-growing cost line never hits a cloud bill.
Token spend is invisible to classic FinOps: direct-API usage bills outside the cloud, keys go untagged, and model deployments look free until the invoice lands. QuantumReckon reads your AI providers the way it reads your clouds — deployments, token flow per model, key hygiene — and prices what it measures.
token flow · one week, our own estate317M tokens
gpt-5.5 · 275M
87% of tokens on the priciest model — while cheaper tiers sat idle
≈$1,016/mo
saving from one prompt-caching fix, quantified from the measured 129:1 input/output shape
7
dormant API keys found across two AI providers — attack surface, flagged for rotation
2
model deployments at zero traffic — deletable clutter surfaced on the first sweep
Measured on our own estate before any customer’s — every number above is backed by a sealed receipt in the product.
Not a one-off audit
Connect once. Reckon watches every day.
A sweep isn’t a report you run and forget — reckon keeps sweeping on a schedule, compares each run to the last, and tells you the moment something moves. FinOps that watches, not FinOps you have to remember.
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Scheduled sweeps
Daily, automatic, across every connected cloud and AI provider. Your estate stays current without anyone clicking.
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Drift & anomaly detection
A new resource appears, a run-rate jumps, a model’s token volume spikes — each becomes a receipted finding, compared against the previous sweep.
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Budget & Slack alerts
Set a monthly budget and a webhook. Breaches, new waste, and anomalies post to your channel after every sweep. Quiet weeks stay quiet.
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Honest forecasting
Where the run-rate is heading — 30 days, a quarter, a year — banded by what recent sweeps actually observed. A projection, never a fabricated curve.
€2,834/mo
runs on a €0 invoice. When an estate is covered by cloud credits or sponsorship, the bill reads zero — so every bill-ingesting tool shows nothing. Reckon prices the estate anyway and names the number you inherit the day the credits expire. The credit cliff, seen before you fall off it.
Why QuantumReckon
Built to find what dashboards miss.
Cost dashboards report a number and leave the investigation to you. QuantumReckon inspects the estate, explains its reasoning, and produces auditable evidence for every finding.
01
Clouds and AI providers, one estate
Azure, AWS, GCP, and Hetzner connect alongside Anthropic and OpenAI admin APIs — infrastructure priced per resource, AI priced per measured token, all in one command deck.
02
Explainable verdicts, not a chart
Every finding carries its classification, confidence, and the evidence behind it. Hypotheses stay on the watchlist — flagged for a human, never counted as reclaimable — and estimates are always marked as estimates.
03
Provable remediation
Each finding and reclaim command is sealed into a tamper-evident receipt — canonical JSON, SHA-256, hash-chained — inspectable and exportable, so results hold up in an audit.
04
Accurate to the dollar
Counts only spend that genuinely leaves your account, so “reclaimable” always means real money. AI run-rates derive from measured input/output token volumes at per-model rates — never a modelled guess.
How it works
Connect, sweep, reckon — in minutes.
A single read-only connection is enough to begin. Watch the sweep run phase by phase, and every result arrives with the evidence to back it.
STEP 01
Connect read-only
Grant a least-privilege read role — keyless where the cloud supports it (an AWS role ARN or Azure Key Vault reference), or an AI provider admin key, envelope-encrypted at rest. Credentials are verified before anything is stored.
STEP 02
Watch the sweep
Inventory, cost and utilisation correlate live — CPU for compute, tokens for AI — then classification: idle, duplicate, orphaned, failed, and watchlist observations that need a human eye.
STEP 03
Reckon with proof
Review the treemap, trend, and evidence-linked reads; run each generated fix on your terms; inspect the sealed, hash-chained receipt behind every result.
Validated on a live estate
Proven on real infrastructure first.
Before reaching a single customer, the product swept the founder’s own multi-cloud, multi-provider estate. The numbers below are from those sweeps — receipts included, inspectable in the product.
€2.8k/mo
estate mapped & priced per resource
58%
of known spend was AI — invisible before
49
resources across clouds + AI providers
⛓
every finding receipt-sealed, chain intact
CACHE≈$1,016/mo caching saving on one deployment
ROUTING87% of tokens on the priciest model
UTILIZATION€790/mo of compute at 5.9–9.6% CPU
KEYS7 dormant AI keys across 2 providers
Read-only · a sweep takes minutes
Reckon with what it all really costs.
Connect a cloud or an AI provider read-only, watch the sweep run, and get a ranked, evidence-backed picture of your spend — quantified fixes, sealed receipts, nothing modified. No card required.