Mission File · SCL-10 · Launch-Day Hardening

Your Big Moment
Shouldn't Be An Outage.

Product Hunt #1. Front page of HN. The TikTok that hits. More startups die from successful launches than failed ones. Scale Hero makes sure yours survives.

0
Launch-Day Outages
120k
Peak RPS Survived
p99 <400ms
Under Load
// LOAD.TEST STRESSING
42k req/s sustained
Scale Hero is hardening every bottleneck.
p50 latency
84ms
p99 latency
312ms
Error rate
0.02%
DB pool
62%
CDN hit
94%
Cost / 1k req
$0.018
STABLE
READY
// ACT.ONE

The Launch You Wanted Is The One That Takes You Down.

// BEFORE

Your app holds 100 concurrent users. Smooth. Fast.

// LAUNCH

You hit Product Hunt #1. 12,000 visitors arrive in an hour.

// T+5min

Database connections max out. Signups start 500'ing.

// T+15min

Your serverless bill is now $400/hour and climbing.

// T+1hr

The moment passes. The press leaves. The bounce rate is 91%.

// RESCUE

Scale Hero pre-hardens you so launch day is boring instead of fatal.

// T-MINUS.LAUNCH

What the next 14 minutes look like — and where your stack snaps.

T+0 · 100 RPS — calm
T+5m · DB pool 86%
T+9m · 500s start
T+14m · Recovered — hardened
// BEFORE
Single-region. No queue. No cap.

Synchronous AI calls in the request path. DB on the cheapest tier. No alerts until users complain.

// AFTER
Edge cache, queues, autoscaled, observed.

Slow work is async. Pool sized for the spike. Hard cost caps. Runbook in Slack. Boring launch.

// MISSION.BRIEFING

The SRE squad founders can rent for one launch.

Scale Hero is a focused performance & resilience pass that load-tests your stack under realistic launch-day traffic, identifies every bottleneck, and hardens each one — caching, queues, connection pools, autoscaling, observability.

One operator. One stress test. One stack that survives going viral.

SCALE HERO
Load Test
Caching
CDN
DB Pool
Queues
Autoscale
Observability
Alerts
Cost Caps
Runbook
// MISSION.CAPABILITIES

What we harden before your moment arrives.

📈

Realistic Load Testing

k6 / Artillery scenarios that mirror your actual user paths — not synthetic traffic that lies.

Caching Layers

Edge cache, CDN, application cache, database query cache — each tuned where it actually moves the needle.

🗄️

Database Hardening

Connection pooling, read replicas, query plan fixes, hot-row protection — the stuff that fails first under load.

🧵

Queues & Backpressure

Move slow work off the request path. Add backpressure so spikes degrade gracefully instead of taking everything down.

👁️

Observability

Real metrics, traces, error tracking, alerts. You'll know about issues before users tweet about them.

💰

Cost Ceilings

Autoscale limits, budget alerts, per-route cost tracking — so a viral spike doesn't end with a five-figure invoice.

// DISTRESS.SIGNALS

You need Scale Hero if…

!
You've never load-tested past 50 concurrent users
And your launch plans include 'hopefully a lot of people show up.' Hope is not a capacity plan.
!
Your DB plan is the cheapest tier
Connection limits, IO caps, and burst credits will be the first thing to hit a wall.
!
You have no error monitoring
Sentry, Datadog, or even basic Logflare — if 5% of requests are failing, you can't see it.
!
There's no autoscaling and no autoscale cap
Either you stay small or you wake up to a surprise invoice. There's no middle ground.
!
Critical work runs inside the request
Email sends, AI calls, image processing — all happen synchronously. One slow dependency takes everything down.
!
Your runbook is in your head
If something breaks at 11pm on launch day and you're asleep, nobody knows what to restart, scale, or roll back.
// WHY.THIS.HAPPENS

Most modern stacks scale to 100 users without trying — and fall over at 1,000.

Serverless, edge, autoscaling — modern infra makes the first 100 concurrent users feel effortless. That same architecture has cliffs at 1k, 10k, and 100k that founders never see until they hit them.

Launch traffic is bursty, weird, and unforgiving. Press hits send thousands of curious visitors who bounce in 8 seconds. Viral TikToks send teenagers who hammer search and never convert. Both will find the slowest endpoint in your stack and stay there.

Scale Hero pre-fights these fights. We simulate the burst, fix the bottleneck, and stand up the observability so launch day is something you can actually enjoy instead of survive.

Boring launches are the best launches. We make yours boring.

// CHOOSE.YOUR.TIER

Pick the rescue that fits your mission.

Fixed-price, no surprises. Pick the closest tier and we'll confirm scope on the first call.

Pre-Flight
Audit + cheap wins.
$1,500 – $3,000
3–5 days

// What's included

  • Load testing: Audit only
  • Caching tuned: Recommendations
  • Incident runbook: Doc only
  • Post-launch support: 14 days
Launch Harden
Load test + fixes.
$5,000 – $12,000
2–3 weeks

// What's included

  • Load testing: Top flows
  • Caching tuned: App + CDN
  • Database hardening: Pool + indexes
  • Queues / async work: Top 3 flows
  • Observability stack: Basic metrics
  • Autoscaling + cost caps
  • Incident runbook
  • Post-launch support: 30 days
  • Launch-day on-call: Async
Most popular
Full SRE Pass
Resilience end-to-end.
$15,000 – $35,000
4–6 weeks

// What's included

  • Load testing: Full coverage
  • Caching tuned: Multi-layer
  • Database hardening: Replicas + plans
  • Queues / async work: All slow paths
  • Observability stack: Metrics + traces + alerts
  • Autoscaling + cost caps: Per-service + budgets
  • Incident runbook: Per scenario
  • Post-launch support: 60 days
  • Launch-day on-call: Live window
Scale Watch
On-call resilience.
$3,000 – $6,000/mo
Ongoing

// What's included

  • Load testing: Quarterly re-test
  • Caching tuned: Continuously
  • Database hardening: Reviewed monthly
  • Queues / async work: Maintained
  • Observability stack: 24/7 alerts
  • Autoscaling + cost caps: Tuned monthly
  • Incident runbook: Updated
  • Post-launch support: Always on
  • Launch-day on-call: 24/7
// PRICING.FAQ

Questions before we deploy?

Everything founders ask before kicking off a rescue mission.

Make launch day boring.

The startups that survive going viral are the ones that planned for it. Let's plan for yours.

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