StackSpend.app's answer

Legacy FinOps tools were built for the AWS-only era: they stop at a chart, bill you a percentage of your cloud spend, and can't explain what changed. StackSpend is different on three fronts — it explains the cause of every spike (cost-to-code correlation), it covers AI/LLM spend as a first-class citizen alongside cloud, and it uses flat, predictable per-tier pricing so your cost-management bill never grows just because your cloud bill did. Setup takes minutes, and a 14-day free trial doubles as a free cost-health audit.

Mind Diary's answer:

MindDiary is designed specifically around therapy workflows rather than being a generic scheduling or medical practice-management system. It combines digital intake, client management, session preparation, therapist-reviewed AI note drafting, telehealth, appointments, invoicing, revenue follow-up, journaling, homework, and between-session check-ins in one platform. A key difference is MindDiary's focus on between-session engagement and longitudinal client context. Therapists can use permissioned journal entries, check-ins, homework, recent sessions, and other relevant information to prepare for upcoming appointments instead of piecing context together across multiple disconnected tools.

StackSpend.app's answer

StackSpend traces every dollar of cloud and AI spend back to the code, team, and pull request that caused it. Where traditional cost tools show you that spend moved, StackSpend's cost-to-code correlation shows you why — automatically tying each anomaly to the deploy, config change, or PR behind it. It unifies traditional cloud (AWS, Azure, GCP, Snowflake) and modern AI spend (OpenAI, Anthropic, Cursor) in one view, detects anomalies daily instead of at month-end, and works from day one without a data team building dashboards.

Mind Diary's answer:

MindDiary connects what happens before, during, and between therapy sessions in one workspace. Alongside practice management features such as digital intake, appointments, telehealth, invoicing, and therapist-reviewed AI notes, MindDiary helps therapists maintain continuity between sessions through client journaling, check-ins, homework, and session preparation. Instead of treating each appointment as an isolated event, MindDiary brings relevant client context together over time so therapists can prepare for sessions with a clearer picture of progress, concerns, and between-session activity. AI-assisted features support the therapist rather than replacing professional judgement.

StackSpend.app's answer

Engineering and finance teams who share responsibility for cloud and AI spend — platform/DevOps engineers, engineering leaders, and FinOps or finance practitioners. It's built for teams running a mix of cloud infrastructure and AI/LLM services who need daily visibility and a shared source of truth, from fast-moving startups through mid-market and enterprise organizations.

Mind Diary's answer:

MindDiary is built for counsellors, psychotherapists, therapists, psychologists, group practices, and therapy clinics. It is particularly suited to practitioners who want to reduce administrative work while improving continuity of care through digital intake, session preparation, clinical documentation support, client journaling, homework, check-ins, appointments, telehealth, and practice-management tools. MindDiary currently has a particular focus on therapy practices in Ireland and the United Kingdom, while the platform is designed to support therapists internationally.

StackSpend.app's answer

StackSpend was built by engineers who spent years watching cloud bills climb — and then watching AI make them climb faster. Founder Andrew Day spent a decade building large-scale systems in regulated banking, where every dollar of infrastructure was accounted for, then eight years in AI startups where teams spent across OpenAI, Anthropic, Cursor, and a dozen cloud services with no way to say why the bill jumped. The cause was almost always a code change — a PR that flipped a model or widened a query — but finance dashboards never connected spend to the code behind it. So StackSpend was built to close that gap and turn a monthly surprise into a daily signal.

Mind Diary's answer:

MindDiary was created around a simple observation: therapy software typically concentrates on what happens inside the appointment, while much of the useful context develops between sessions. Therapists often have intake information, notes, journals, homework, appointments, invoices, and client communications spread across different systems. MindDiary was built to bring these workflows together and make relevant longitudinal client context easier to use when preparing for the next session. The goal is not to automate therapy or replace clinical judgement. It is to give therapists a better workspace for understanding context, reducing administration, maintaining continuity between sessions, and running their practice.

StackSpend.app's answer

StackSpend is a TypeScript monorepo (Turborepo). The web app is built with Next.js 15, React 19, and Tailwind CSS, deployed on Vercel. The backend API is a Node.js/Express service on Railway, with Supabase (PostgreSQL) for data and auth. Cost forecasting is powered by a Python FastAPI service using Prophet, pandas, and NumPy. AI/LLM features run through a dedicated agents service (Anthropic Claude), and the platform ingests cost data via native provider APIs and the open FOCUS standard.

Mind Diary's answer:

MindDiary is a modern cloud-based web application built primarily with React and TypeScript on the frontend and .NET/C# services on the backend. Its infrastructure uses technologies including AWS, Cloudflare, PostgreSQL, Stripe, and modern AI/LLM services. The platform is designed with security, privacy, scalability, and therapist control over AI-assisted workflows in mind.

Mind Diary's answer:

MindDiary does not currently publicly disclose individual customer or practice names.