Success Stories
Deep dives into our most challenging engineering projects and the measurable impact they delivered.
FreshLimePay
The Challenge
Businesses struggle with slow, expensive payment integrations and lack of data ownership in cloud-only SaaS.
Our Solution
A hybrid deployment model allowing businesses to choose between self-hosting for 100% data control or a managed cloud service, with integrated Stripe Connect for instant vendor payouts.
Key Outcome
Reduced time-to-market for indie makers by 60% and slashed payment processing overhead.

DataQueryAI
The Challenge
Non-technical stakeholders often wait days for data analysts to write SQL reports.
Our Solution
An intelligent natural language layer that translates English questions into high-performance SQL, with built-in visualization engines.
Key Outcome
90% faster data insights and near-zero learning curve for business teams.

PyroClawAI
The Challenge
AI privacy concerns and high subscription costs for LLM services hinder personal productivity.
Our Solution
A local-first architecture that runs large language models directly on the user's hardware, ensuring total privacy and zero operational costs.
Key Outcome
A truly private assistant that scales with the user's local hardware, eliminating the need for cloud credits.

TurboSEO
The Challenge
Traditional SEO audits are slow, technical, and hard to share with non-technical clients.
Our Solution
A lightweight Chrome extension that provides instant page scores, visual charts, and actionable 'before-and-after' rewrite previews for meta tags and descriptions.
Key Outcome
Instant auditing capability with one-click polished PDF reports, significantly reducing the time required for website discovery.

MyCostPilot
The Challenge
Engineering teams struggle with scattered AI provider keys, lack of usage visibility, and the risk of unexpected billing spikes from unmonitored AI traffic.
Our Solution
A centralized AI gateway that proxies requests, encrypts provider secrets, and implements budget-aware guardrails with built-in retry and fallback logic.
Key Outcome
Eliminated secret leakage risks and provided 100% visibility into token spend, reducing operational overhead for AI-driven products.
