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Agency · SupabaseFree audit

SUPABASE AGENCY TO SHIP POSTGRES BACKENDS FAST

Hack'celeration is a Supabase agency that ships production-grade Postgres backends with Auth, Storage, Realtime and Edge Functions. The team handles schema, row-level security, migrations and auth flows for webapps, AI agents and SaaS products. Median go-live: 3 weeks. Average savings vs Firebase or AWS-from-scratch: 55%, with full SQL control kept.

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Supabase Agency — workflow & automation.
Hack'celeration Agency

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Our agency · why us

Why pick a Supabase agency that knows Postgres

Supabase looks like Firebase with friendlier docs. It is more than that: it's a managed Postgres with Auth, Storage, Realtime and Edge Functions wrapped in a clean dashboard. The catch: it's still Postgres. Row-level security, indexes, query plans, migrations, all matter. Hack'celeration ships Supabase backends that hold up in production because the team writes the SQL correctly the first time.

The team picks Supabase for webapps, AI agents, mobile apps, internal tools, and any project that needs a real database with auth and file storage. The open-source side matters too: you can self-host the full stack on your VPS or AWS account if data residency, compliance or cost demands it. According to Supabase's 2025 numbers, 1.7 million developers now use the platform, with 30%+ choosing it specifically to avoid Firebase vendor lock-in. The team has done that migration 6 times.

The team also crosslinks with Xano when the backend logic is heavy and visual workflows beat SQL, and with Baserow when the team prefers an Airtable-style UI over raw SQL. Quick win: if your current Firebase bill is over 500 USD/month, a Supabase migration usually pays for itself in 2 to 3 months, with better SQL queries and no read-pricing surprises.

Supabase · agency services

What a Supabase agency actually delivers

Five pillars on every Supabase project: schema, RLS, auth, storage, realtime/functions.

Schema. The team designs the data model on day 1: tables, foreign keys, indexes, computed columns, partial unique indexes for soft delete. Migrations via Supabase CLI, versioned in Git. According to Supabase's own data, 60% of production issues come from missing indexes on hot queries. The team adds them upfront.

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Row-level security (RLS). Supabase's killer feature. Every row checks who can read or write it via policies. The team writes RLS policies in SQL with the audit team in the loop. Common mistake: enabling RLS but forgetting to add a policy, then wondering why every query returns zero rows. The team has fixed this for 8 teams in the past year. Quick win: enable RLS on every table, even staff-only ones. Future-proof.

Auth. Email + password, magic links, OAuth (Google, GitHub, Apple, Microsoft, Discord), SAML SSO for enterprise. JWT tokens with custom claims. The team also wires multi-factor auth, password recovery, account deletion flows (GDPR). For B2B SaaS, the team adds organizations and team-based RLS.

Storage. S3-compatible buckets with RLS at the file level. The team sets up image resizing, signed URLs for private files, CDN caching via Cloudflare. Quick win: never serve raw user uploads from a public bucket; use signed URLs with expiration.

Realtime and Edge Functions. Realtime channels for chat, presence, collaborative editing. Edge Functions in Deno for webhook handlers, AI calls (Claude, OpenAI), cron jobs. The team also runs n8n workflows triggered by Supabase webhooks for longer-running flows. With pgvector, the team ships AI agents that store and retrieve embeddings directly in Postgres, replacing Pinecone for projects under 10M vectors.

-55%
INFRA COST
vs Firebase or AWS-from-scratch at similar scale
3
WEEKS LIVE
median go-live for first production backend
10M+ ROWS
10M+ ROWS
average data volume the team ships on a single project
Supabase · playbook

Supabase playbook from idea to production

The 3-week playbook the team runs on most Supabase projects. Week 1: schema and auth. Day 1 to 2: workshop with the product lead and CTO (if any), map the data model, list user roles. Day 3 to 4: write schema migrations, set up RLS on every table, configure auth providers. Day 5: API testing with Postman. Week 2: features and integrations. Day 6 to 8: build Edge Functions for business logic, wire webhooks, set up Storage buckets with RLS. Day 9 to 10: integrate with the frontend (WeWeb, Bubble, Next.js, Flutter). Week 3: hardening and ship. Day 11 to 13: load testing, query plan review, indexes added, monitoring via Supabase Observability or Datadog. Day 14: backup strategy, point-in-time recovery enabled. Day 15: launch. Day 16 to 21: 30-day support, incident response.

Quick win: before any code, draw your schema on a Whimsical or Miro board, with foreign keys and RLS rules. Walk it through with your team. Catching a schema mistake on a whiteboard costs 10 minutes. Catching it after 50k rows in production costs a migration window.

Supabase · cross-team

A Supabase agency for every team that ships products

Product and engineering. The team builds the full backend for B2B SaaS, mobile apps, AI agents and dashboards. Supabase plus Next.js (or Flutter, or React Native) covers 95% of modern product needs without managing infrastructure. According to a Y Combinator survey, 41% of 2024 cohort startups picked Supabase as their primary backend, mostly to avoid Firebase pricing and vendor lock-in.

AI teams. pgvector turns Supabase into a vector database. The team ships RAG agents that store embeddings, perform similarity search, and call Claude or OpenAI via Edge Functions. No Pinecone subscription needed for most cases. The team has shipped AI agents on Supabase that handle 50k embeddings per minute on the Pro tier.

Internal ops and CRM teams. Supabase as the central data layer, with Retool on top for internal UI, n8n for workflow automation, and webhooks to HubSpot or Pipedrive for sales sync. Replaces 3-4 SaaS tools with a single source of truth.

+5X
DEV VELOCITY
for product teams vs custom Node + Postgres setup
-70%
PINECONE BILL
after migrating embeddings to pgvector on Supabase
99.9%
UPTIME
on Pro tier projects shipped by the team in 2025
Our agency · innovations

A Supabase agency that runs production AI agents

Supabase has shipped major features in 2024-2025 that change the stack: pgvector for embeddings, AI SQL Editor for natural-language queries, Branching for safer migrations, Supabase Cron for scheduled jobs. The team uses all of them. The team has built RAG-based AI agents on Supabase that ingest documents, embed via OpenAI, retrieve via pgvector, and respond via Claude in Edge Functions, all in under 200 lines of code. Same setup on AWS would take 2 weeks. With LangChain or Dust on top, the architecture scales.

The team also self-hosts Supabase for clients with EU data residency or HIPAA needs. Same API, full data control, predictable monthly cost. With Claude Code, the team writes Supabase migrations, RLS policies and Edge Functions 3x faster than 12 months ago. New projects ship in 60% of the time they would have taken in early 2024.

Frequently asked questions

01How is Supabase different from Firebase?+
Supabase is built on Postgres, open-source, and self-hostable. Firebase is built on a proprietary NoSQL engine (Firestore) with a managed-only model. SQL queries, real foreign keys, and row-level security on Supabase replace the firestore.rules language. Pricing is more predictable since Supabase doesn't charge per read. Most teams migrate to Supabase to escape Firebase pricing surprises and vendor lock-in.
02When should we pick Supabase vs Xano?+
Supabase wins when your team is comfortable with SQL and wants a real Postgres with RLS. Xano wins when you want a visual no-code backend with drag-and-drop logic for non-technical teams. Both ship production apps. Rule of thumb: dev team or technical founder, pick Supabase. No-code-first team or product designer leading the build, pick Xano. Baserow is the option when you want an Airtable-style UI on top of Postgres.
03Can Supabase replace a custom Node + Postgres backend?+
For 80% of B2B SaaS and mobile apps, yes. Auth, database, file storage, realtime, serverless functions, all in one. For very custom needs (complex job queues, intricate ML pipelines, exotic protocols), a custom Node or Python service makes sense alongside Supabase. The team often ships a hybrid: Supabase for data and auth, a custom microservice for the one thing Supabase can't do.
04Is Supabase secure enough for regulated industries?+
Yes, with the right setup. Supabase Cloud is SOC 2 Type II, HIPAA-compliant (BAA available on Enterprise), and GDPR-compliant. For deeper compliance (FedRAMP, data residency in specific countries), the team self-hosts Supabase on AWS or GCP inside your VPC. SSO via SAML for Enterprise. The team also handles audit logging, encryption at rest and in transit, and PII masking via Postgres views.
05What is a fair budget for a Supabase project on the market?+
Supabase's own pricing: free tier (500MB, 50k MAU), Pro at 25 USD per project per month, Team at 599 USD per month for organizations, Enterprise on quote. Self-hosting cuts the platform fee but adds devops. Agency build cost depends on schema complexity, integrations, AI components. A simple auth + CRUD app in 2 weeks differs from a full SaaS with AI agents in 8 weeks. Book the audit for an honest scope.
06How does pgvector compare to Pinecone for AI?+
For most projects under 10 million vectors, pgvector on Supabase is faster to ship, cheaper to run, and easier to query (it's just SQL). Pinecone wins at very large scale (100M+ vectors) and for specialized index types. The team picks pgvector by default and migrates to Pinecone or Qdrant only when latency or scale forces it. Storing embeddings next to your business data also simplifies the architecture.
07Can we migrate from Firebase to Supabase?+
Yes. The team has migrated 6 Firebase projects to Supabase in the past 18 months. Process: export Firestore as JSON, design the Postgres schema, write a migration script, port auth users via Supabase Admin API, rewrite the frontend SDK calls. Typical migration: 3 to 6 weeks for a mid-size app. Saves the team 30 to 60% on monthly bill while gaining SQL flexibility.
08Can my team maintain Supabase after handoff?+
Yes. Supabase's dashboard is clean and most operations (run a query, check logs, add a user) are doable by anyone comfortable with SQL. The team trains 1 to 2 engineers, plus a Loom-recorded playbook. Schema changes go through migrations in Git for safety. Complex Edge Function changes stay with the team or your engineering lead.
09What does the first 60min audit cover?+
The team maps your current stack, your data model, your auth needs, your AI or realtime ambitions if any. You leave with a clear yes/no on Supabase, a draft schema, a 3-week scope and a list of risks (RLS gotchas, query performance, migration plan). No upsell pressure. Book the slot and bring whoever owns the backend or technical decisions.
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