Two-weekaudit.Roadmapyoucanexecute.
A fixed-price 2-week review of your EdTech platform's architecture, code, database, and infrastructure. Output is a written roadmap, not a bag of recommendations. Sequenced by business impact, with time and effort estimates on every item.
Daily active users
Peak requests per minute
Products shipped
Downtime through migrations
Platforms at three inflection points.
Pre-scaling due diligence
- Who
- Platforms at 20,000-50,000 daily users preparing for a growth push.
- Problem
- The current architecture has carried you here but the team is not sure how much further it holds.
- What we do
- Proactive audit with a 12-month scaling roadmap before problems start.
Investment or M&A due diligence
- Who
- Founders or acquirers needing a credible third-party technical assessment.
- Problem
- Investors and acquirers want an independent review of platform risk before closing.
- What we do
- Accelerated audit with an executive summary focused on material risks and capex implications.
Platform firefighting
- Who
- Platforms in active production stress.
- Problem
- Outages every few weeks. The team knows something is wrong but cannot agree on what to rebuild first.
- What we do
- Fast audit with immediate stabilization recommendations and a 90-day tactical roadmap.
Where platforms break. And how we rebuild them.
Blind spots in the monitoring stack
The pain: The team cannot see what breaks first because the observability setup is not instrumented for peak-hour traffic patterns.
Our approach: Audit the current telemetry stack. Identify gaps, typically around database locks, queue backpressure, and cross-service latency. Recommend specific instrumentation with implementation estimates.
Hidden scaling walls in the data layer
The pain: The database works today but has 3-5 table-level bottlenecks that will lock the platform at 3x current traffic. The team has not yet seen them because they only show up at peak.
Our approach: Query-level analysis using slow query logs + read lock contention. Identify the specific queries that will break first. Recommend index changes, read replica strategy, and table partitioning where warranted.
Architectural debt that compounds
The pain: Small workarounds shipped 18 months ago have turned into systems nobody wants to touch. Engineers route around them.
Our approach: Code archaeology. Document the hidden coupling. Recommend targeted rewrites with ROI estimates, most workarounds are 2-3 week fixes that save 6+ months of compound debt.
Cost inefficiency at scale
The pain: Infrastructure cost is growing faster than daily user count. Cloud spend is the #2 operating expense but nobody has audited it in 12 months.
Our approach: Infrastructure cost audit tied to traffic patterns. Identify 20-40% savings opportunities typical of unoptimized EdTech platforms, right-sizing, reserved capacity, database tier optimization, and egress waste.
Methodology tuned for platforms at scale.
- 01
Kickoff and read-access (day 1-2)
We get read access to the repo, observability tools, cloud console, and database schema. Initial session with engineering leads to map the architecture and understand current pain points from the team's perspective.
- 02
Deep technical review (days 3-8)
Code review at the service and module level. Database schema and query analysis. Infrastructure and cost audit. Observability gap assessment. Interviews with 2-4 engineers to understand decisions behind current choices.
- 03
Synthesis and roadmap (days 9-12)
The findings get synthesized into a prioritized roadmap. Every recommendation includes time and effort estimates, business impact, and sequencing rationale. Not a list, a sequence you can execute.
- 04
Delivery and executive readout (days 13-14)
Written report delivered. 90-minute executive readout with leadership. Q&A session with engineering. Followup support for 4 weeks after delivery to answer questions as the team begins execution.
250,000+ daily users. Multi-tenant by design.
Our multi-tenant EdTech platform powers white-label brands including Your CA Buddy and Youth Pathshala. It holds 250,000+ daily active users, 10 million requests per minute at peak, and has sustained zero downtime through three major scaling migrations. Every pattern on this page, the architecture, the decisions, the approach, has been battle-tested there first.
READ THE PLATFORM STORYHow the platform scaled from 20K to 250K daily active users over 3 years.Read case study →Questions founders ask about this.
What does the audit actually deliver?+
A written report of 30-60 pages covering: current architecture assessment, the top 5 scaling walls you will hit in the next 6-12 months, prioritized recommendations with time and effort estimates, and a quarterly roadmap sequenced by business impact. Not a PowerPoint, a document your engineering team can execute against.
How intrusive is the audit for our team?+
Minimal. We need read access to the repo, observability tools, and database schema. We conduct 4-6 one-hour sessions with your engineering leads over the two weeks. No pair programming, no standups joined, no roadmap changes. Your team keeps shipping.
Do we need to have a scaling problem to run an audit?+
No. The best time to run an audit is before problems show up. Most platforms that engage us after hitting a wall have had the warning signs for 6-12 months. An audit conducted proactively lets you fix 3 walls for the cost of fixing 1 after it hits.
What happens if we don't want to implement everything?+
That is expected and normal. The audit prioritizes by business impact so you can implement the top 2-3 recommendations and defer the rest. Many platforms run a new audit every 12-18 months to refresh the roadmap rather than implement every item.
Can you implement what the audit recommends?+
Yes, most audit engagements convert to a scaling pod after the audit completes. That is intentional: we only recommend work we are willing to stake our own delivery reputation on. But there is no obligation. The audit report is yours regardless.