Explore Problems

Platform engineers managing cloud infrastructure face painful state file locking, complex templating, and pressure to adopt Kubernetes for workloads that don't warrant it. Existing tools like Terraform solve some problems but introduce operational overhead. Praxis was built to fill this gap, confirming real demand for a simpler, opinionated alternative.

Homeowners booking services through lead-generation platforms like HomeAdvisor report contractors collecting deposits then performing no work, arriving without proper tools, and providing no itemized quotes. The platform takes no responsibility for contractor actions and leaves customers with no deposit recovery mechanism. This is a documented fraud pattern enabled by insufficient contractor vetting and no escrow or performance bond requirements.

A borrower in loss mitigation followed instructions given directly by their mortgage servicer, only for the servicer to later declare the file incomplete and refer the loan to foreclosure, despite the borrower's good-faith compliance with the guidance provided.

Developers joining a new large codebase spend significant time figuring out which files matter, where technical debt accumulates, and how components connect. This orientation cost is a persistent drag on productivity for every new hire and contractor. A solo developer built a visualization tool to address this, validating the pain.

Collections agencies force consumers into phone-only negotiations, with no electronic communication option for disputing or resolving debts. This prevents consumers from maintaining verifiable written records. A secure messaging layer between consumers and collectors would address both compliance needs and user preference.

Intercom's Fin AI fails to determine whether a message in a Slack or email thread is addressed to it or to a human colleague. This causes the bot to respond to internal team conversations inappropriately and miss genuine customer queries. The issue reveals a fundamental context-parsing limitation in thread-based AI support agents.

Indie developers and technical founders are spending significant engineering time building self-hosted replacements for SaaS subscriptions to avoid cumulative monthly costs. This signals a structural gap: SaaS pricing models are misaligned with solo/micro-business budgets, and no consolidated self-host platform makes this easy. The market is technical builders who want control and cost savings without vendor lock-in.

Immigration professionals and visa applicants pay $2,000 or more and wait up to a week for paralegals to draft E-2 investor visa business plans. The process is document-intensive but structurally repetitive, making it a strong candidate for AI automation. First-mover tools can capture this market before traditional legal services adapt.

Monday.com automations are easy to set up for simple tasks but break down or require external integrations for complex business processes with multiple conditions and steps. Platform-imposed limits force operations teams into workarounds that add maintenance burden. This blocks adoption for workflow-heavy organizations.

A Progressive customer discovered a $238 monthly premium increase after disabling auto-pay — a penalty not clearly disclosed during signup. Insurance pricing changes for non-auto-pay customers affect millions who choose manual payment control. The lack of proactive billing alerts creates financial surprises for customers.

Salesforce requires significant time investment to configure and learn, deterring adoption among smaller teams and non-technical users. The complexity compounds the cost barrier, making the total adoption cost high. This drives consistent demand for simpler CRM tools.

Business software vendors design cancellation flows that mislead users into believing they have cancelled when they have not, resulting in continued charges. HubSpot and similar platforms use multi-step confirmation gaps that exploit user assumptions. This is a structural problem affecting millions of SaaS subscribers who discover unwanted renewals only after billing.

Users of AI copilot and prompt tools cannot set a persistent default system prompt or brand voice that automatically applies to every new chat session. Each session requires manual re-setup, breaking workflow continuity for teams and individual creators who rely on consistent tone and context.

Contractors on Angi pay significant lead fees but consistently receive responses from customers who either ghost them or expect near-free work. The platform's incentive structure prioritizes lead volume over lead quality, generating poor ROI for service providers.

Job seekers report being asked in interviews about skills they never claimed on their own resumes, reflecting a resume-integrity and grounding gap. The mismatch wastes interview time and erodes trust between candidates and employers.

A consumer disputing their credit report discovered accounts attributed to them by a banking-data reporting firm that they say they never knowingly opened, authorized, or used. This points to a gap in how account-opening identity is verified before being reported to credit files.

Developers repeatedly rebuild the same auth, RAG pipelines, token tracking, and LLM integration scaffolding for every new AI project. The lack of opinionated, production-ready starter kits costs significant development time. Community interest in FastAPI+Supabase+pgvector kits is strong.

Business owners initiating routine international wire transfers find all saved recipients are simultaneously flagged for review, halting payroll and other time-sensitive payments. The bank provides no self-service resolution, requiring manual back-and-forth that can span days. False positive fraud flags with no fast override mechanism impose direct financial harm on businesses dependent on international payments.

When SIM swap attacks enable full account takeover, victims find their banks dispute the fraud claim rather than accepting clear exculpatory evidence like passport stamps and airline tickets showing the customer was overseas. The claims process has no mechanism to weigh third-party corroborating evidence against the bank's internal fraud model. Victims are left liable for charges they can demonstrably prove they did not make.

Indie hackers and early-stage SaaS founders know they need guided onboarding flows to improve activation, but existing tools like Appcues and Pendo start at $200-500/month — pricing that makes no sense with under 100 active users. The market has a wide gap between expensive enterprise onboarding platforms and doing nothing. Small builders are forced to either skip onboarding or build it from scratch.