Best supply chain finance platforms (2026)
Eleven platforms that pay suppliers early on approved invoices, market by market, including India's TReDS exchanges, and when building your own makes sense.
Prashant Abbi How to migrate Bubble app to Supabase without password resets
A step-by-step Bubble exit for the data layer: exports, Postgres tables, row level security, files, and moving every user without a reset email.
Khushi Arora Cost to build a telehealth app, layer by layer
Booking, video and payments make the first version. Prescriptions, EHR links and compliance are where the budget grows, and here's how to stage them.
Khushi Arora Jev vs LLM: when your app needs a decision model
TypeSafe's Jev picks from a fixed list and tells you how sure it is. Here's when that beats an LLM inside your product, and when it doesn't.
Prashant Abbi Supabase row level security not working: six causes and fixes
Empty arrays, insert errors and rows anyone can read all trace back to six causes. Here's the symptom, the check and the fix for each.
Prashant Abbi Best AI receptionists for clinics and hospitals (2026)
Twelve AI receptionists for clinics and hospitals, market by market: what each one fits, what it costs, and when building your own makes sense.
Khushi Arora AI audit report: five things a good one delivers
What you should get back from an AI audit, why so many end up as slide decks nobody can act on, and what to ask before you pay for one.
Khushi Arora Bubble vs Webflow vs custom code: which fits your SaaS MVP (2026)
Webflow, Bubble and custom code solve three different problems. Here's which one your first version needs, and the combination most SaaS teams end up running.
Khushi Arora GPT vs Claude vs Llama in production: choose by task type
Four kinds of LLM work, the model tier that wins each one, and the volume at which running open weights yourself starts to make sense.
Prashant Abbi Fixed-price MVP development: the scope discipline that makes it work
What has to be true about the scope for a fixed-price MVP to work, what it costs in 2026, and the red flags in any fixed quote.
Khushi Arora AI voice agent architecture: the four parts that decide if it ships
Where each layer of a production voice agent breaks on live phone calls, and the order we'd build them in, from voice agents we run in production.
Prashant Abbi Senior engineer retainer vs. full-time hire: the real math (2026)
What a US senior hire costs in year one, line by line, next to a retainer - and the four cases where hiring full-time still wins.
Khushi Arora Code Rescue vs a full rewrite: the real math for vibe-coded MVPs
How to tell whether your cracking Lovable or Bolt app needs a targeted fix or a clean rebuild, and what each one costs.
Khushi Arora Five production failure modes in every Lovable and Bolt MVP
Auth holes, silent errors, N+1 queries, no monitoring, fragile schemas: what breaks a Lovable or Bolt app under real users, and the order to fix them.
Khushi Arora pgvector vs Pinecone: when Postgres stops being enough
The four signals that tell you pgvector has hit its limit, and the fixes to try inside Postgres before you pay for a second database.
Prashant Abbi Lovable vs Bolt vs Cursor: which vibe-coded MVP survives to production (2026)
What breaks first in apps built with Lovable, Bolt and Cursor, what each costs to fix, and how to pick the tool that fits your team.
Khushi Arora When to rebuild your Bubble app in code - and when to stay
The four signs a Bubble app has outgrown the platform, and how to move to code one piece at a time without freezing the product.
Khushi Arora English-to-SQL at a million users: what breaks, in order
The five things that broke as FormulaBot's English-to-SQL pipeline grew to 1.5M+ users, and the order we'd build the fixes in.
Prashant Abbi