Vibecode Albato
track this build5 steps, step by step0%A consolation build is possible, but the paid product's decisive value sits outside a solo rebuild. For Albato, connect two services and expose every transformation and retry. The hard boundary is connector library, app integrator, oauth, hosted execution, and support, plus connector breadth and execution reliability.
You are building a lean indie version of Albato. Create the following project files first, then implement the application by following them. Keep the files updated as decisions change. Do not collapse this into a single README or prompt. ===== README.md ===== # Albato indie build ## Goal Build the smallest trustworthy replacement for the core Albato workflow for one developer or a tiny team. ## Scope Connect two specific services, execute a small durable workflow, expose every transformation and retry in the logs, and avoid claiming a general integration platform. ## Quick start 1. Install the documented dependencies. 2. Copy `.env.example` to `.env`. 3. Run the development command chosen during implementation. 4. Complete the acceptance checks in `BUILD_PLAN.md`. ## Honest limits This build deliberately does not replace: - connector library, app integrator, OAuth, hosted execution, and support - thousands of connectors - maintained OAuth applications - schema-drift handling - high-scale durable execution and support If those capabilities are essential, use Activepieces instead of pretending the gap is solved. ===== AGENTS.md ===== # Agent instructions - Optimize for a working, understandable weekend build. - Prefer the fewest moving parts that satisfy the brief. - Do not invent cryptography, security guarantees, APIs, or compliance claims. - Keep secrets out of source control and logs. - Add focused tests for destructive, security-sensitive, and data-loss paths. - Run the project checks before declaring the build complete. - Record any deliberate shortcut in the README under "Tradeoffs". ===== BUILD_PLAN.md ===== # Build plan ## Original build brief Build a closest honest personal substitute for Albato in an empty repository. Use TypeScript, Node.js 22, PostgreSQL, Redis, BullMQ, and Docker Compose; do not offer alternative stacks. The core loop is: connect two specific services, execute a small durable workflow, expose every transformation and retry in the logs, and avoid claiming a general integration platform. Make the first run work locally with one documented command. Store all user data locally by default and make export straightforward. Put secrets in .env, ship .env.example, and never commit credentials. Implement a fixed trigger, transform, condition, and action workflow model rather than a general visual language. Connect exactly two named services using documented APIs and encrypted credentials. Store every run, step input hash, output summary, retry, and final status in PostgreSQL. Make side effects idempotent and support retry from the failed step without repeating completed actions. Add rate limits, backoff, dead-letter handling, manual replay, cancellation, and secret rotation. Ship Docker Compose, health checks, sample workflows, tests, backups, and connector-limit documentation. Include clear empty, loading, success, and recoverable error states. Add input validation, safe filenames, and graceful handling of unavailable APIs. Write focused tests for the core transformation and one end-to-end happy path. Create a README with setup, architecture, permissions, data location, and backup steps. Do not add accounts, billing, telemetry, analytics, or a hosted control plane. Do not claim to reproduce proprietary data, network liquidity, regulated access, or frontier infrastructure. Deliberately leave out a broad connector marketplace. Deliberately leave out unreviewed user code execution. Deliberately leave out enterprise governance, guaranteed execution, and vendor-operated OAuth apps. Finish by running the tests and listing the exact commands used. ## Required capabilities - OAuth or API credentials for two chosen services - PostgreSQL - Redis - public HTTPS endpoint - background worker ## Delivery order 1. Scaffold the smallest runnable application and document its commands. 2. Implement the primary data model and core workflow. 3. Add validation, safe failure states, and persistence. 4. Cover the critical path with automated tests. 5. Exercise a clean install from the README and fix every missing step. ## Done when - A new user can go from clone to first successful workflow using only the README. - The core workflow works without paid infrastructure unless the brief requires it. - Tests cover the highest-risk behavior. - Known limitations are explicit rather than hidden. ===== .env.example ===== # Copy to .env and document every variable when it is introduced. # Never put real credentials in this file. APP_ENV=development # Add only values required by the selected implementation.
You are building a lean indie version of Albato. Create the following project files first, then implement the application by following them. Keep the files updated as decisions change. Do not collapse this into a single README or prompt. ===== README.md ===== # Albato indie build ## Goal Build the smallest trustworthy replacement for the core Albato workflow for one developer or a tiny team. ## Scope Connect two specific services, execute a small durable workflow, expose every transformation and retry in the logs, and avoid claiming a general integration platform. ## Quick start 1. Install the documented dependencies. 2. Copy `.env.example` to `.env`. 3. Run the development command chosen during implementation. 4. Complete the acceptance checks in `BUILD_PLAN.md`. ## Honest limits This build deliberately does not replace: - connector library, app integrator, OAuth, hosted execution, and support - thousands of connectors - maintained OAuth applications - schema-drift handling - high-scale durable execution and support If those capabilities are essential, use Activepieces instead of pretending the gap is solved. ===== AGENTS.md ===== # Agent instructions - Optimize for a working, understandable weekend build. - Prefer the fewest moving parts that satisfy the brief. - Do not invent cryptography, security guarantees, APIs, or compliance claims. - Keep secrets out of source control and logs. - Add focused tests for destructive, security-sensitive, and data-loss paths. - Run the project checks before declaring the build complete. - Record any deliberate shortcut in the README under "Tradeoffs". ===== BUILD_PLAN.md ===== # Build plan ## Original build brief Build a closest honest personal substitute for Albato in an empty repository. Use TypeScript, Node.js 22, PostgreSQL, Redis, BullMQ, and Docker Compose; do not offer alternative stacks. The core loop is: connect two specific services, execute a small durable workflow, expose every transformation and retry in the logs, and avoid claiming a general integration platform. Make the first run work locally with one documented command. Store all user data locally by default and make export straightforward. Put secrets in .env, ship .env.example, and never commit credentials. Implement a fixed trigger, transform, condition, and action workflow model rather than a general visual language. Connect exactly two named services using documented APIs and encrypted credentials. Store every run, step input hash, output summary, retry, and final status in PostgreSQL. Make side effects idempotent and support retry from the failed step without repeating completed actions. Add rate limits, backoff, dead-letter handling, manual replay, cancellation, and secret rotation. Ship Docker Compose, health checks, sample workflows, tests, backups, and connector-limit documentation. Include clear empty, loading, success, and recoverable error states. Add input validation, safe filenames, and graceful handling of unavailable APIs. Write focused tests for the core transformation and one end-to-end happy path. Create a README with setup, architecture, permissions, data location, and backup steps. Do not add accounts, billing, telemetry, analytics, or a hosted control plane. Do not claim to reproduce proprietary data, network liquidity, regulated access, or frontier infrastructure. Deliberately leave out a broad connector marketplace. Deliberately leave out unreviewed user code execution. Deliberately leave out enterprise governance, guaranteed execution, and vendor-operated OAuth apps. Finish by running the tests and listing the exact commands used. ## Required capabilities - OAuth or API credentials for two chosen services - PostgreSQL - Redis - public HTTPS endpoint - background worker ## Delivery order 1. Scaffold the smallest runnable application and document its commands. 2. Implement the primary data model and core workflow. 3. Add validation, safe failure states, and persistence. 4. Cover the critical path with automated tests. 5. Exercise a clean install from the README and fix every missing step. ## Done when - A new user can go from clone to first successful workflow using only the README. - The core workflow works without paid infrastructure unless the brief requires it. - Tests cover the highest-risk behavior. - Known limitations are explicit rather than hidden. ===== .env.example ===== # Copy to .env and document every variable when it is introduced. # Never put real credentials in this file. APP_ENV=development # Add only values required by the selected implementation.
You are building a production product version of Albato. Create the following project files first, then implement the application by following them. Keep the files updated as decisions change. Do not collapse this into a single README or prompt. ===== PRODUCT.md ===== # Albato product brief ## Problem A consolation build is possible, but the paid product's decisive value sits outside a solo rebuild. For Albato, connect two services and expose every transformation and retry. The hard boundary is connector library, app integrator, oauth, hosted execution, and support, plus connector breadth and execution reliability. ## Product outcome Connect two specific services, execute a small durable workflow, expose every transformation and retry in the logs, and avoid claiming a general integration platform. ## Target user A serious builder who needs a maintainable product foundation rather than a one-off demo. ## Required capabilities - OAuth or API credentials for two chosen services - PostgreSQL - Redis - public HTTPS endpoint - background worker ## Explicit non-goals for v1 - connector library, app integrator, OAuth, hosted execution, and support - thousands of connectors - maintained OAuth applications - schema-drift handling - high-scale durable execution and support ## Success criteria - The primary workflow is measurable end to end. - Setup is reproducible in a clean environment. - Failure, recovery, and support paths are documented. - Product claims match what the implementation actually guarantees. ===== ARCHITECTURE.md ===== # Architecture ## Starting brief Build a closest honest personal substitute for Albato in an empty repository. Use TypeScript, Node.js 22, PostgreSQL, Redis, BullMQ, and Docker Compose; do not offer alternative stacks. The core loop is: connect two specific services, execute a small durable workflow, expose every transformation and retry in the logs, and avoid claiming a general integration platform. Make the first run work locally with one documented command. Store all user data locally by default and make export straightforward. Put secrets in .env, ship .env.example, and never commit credentials. Implement a fixed trigger, transform, condition, and action workflow model rather than a general visual language. Connect exactly two named services using documented APIs and encrypted credentials. Store every run, step input hash, output summary, retry, and final status in PostgreSQL. Make side effects idempotent and support retry from the failed step without repeating completed actions. Add rate limits, backoff, dead-letter handling, manual replay, cancellation, and secret rotation. Ship Docker Compose, health checks, sample workflows, tests, backups, and connector-limit documentation. Include clear empty, loading, success, and recoverable error states. Add input validation, safe filenames, and graceful handling of unavailable APIs. Write focused tests for the core transformation and one end-to-end happy path. Create a README with setup, architecture, permissions, data location, and backup steps. Do not add accounts, billing, telemetry, analytics, or a hosted control plane. Do not claim to reproduce proprietary data, network liquidity, regulated access, or frontier infrastructure. Deliberately leave out a broad connector marketplace. Deliberately leave out unreviewed user code execution. Deliberately leave out enterprise governance, guaranteed execution, and vendor-operated OAuth apps. Finish by running the tests and listing the exact commands used. ## Boundaries Separate the product into replaceable modules for interface, application logic, persistence, external integrations, and operational concerns. Keep domain logic independent from delivery frameworks and vendors. ## Production baseline - Configuration: validated at startup with safe local defaults where possible. - Security: least privilege, input validation, secret redaction, rate limits on abuse-prone paths, and no invented security primitives. - Data: explicit schema and migrations, transactional writes where integrity matters, backup and restore instructions. - Integrations: adapters around third-party providers, idempotent webhook or job processing, bounded retries, and timeouts. - Observability: structured logs with request or operation IDs, an error-tracking hook, and health/readiness checks where a server exists. - Quality: unit tests for domain rules, integration tests at module boundaries, and one end-to-end critical-path test. ## Decision records For each major dependency, document why it was chosen, its failure mode, and how it can be replaced. Do not introduce infrastructure until a requirement justifies it. ===== AGENTS.md ===== # Agent instructions - Read `PRODUCT.md` and `ARCHITECTURE.md` before changing code. - Implement milestone by milestone; keep each change reviewable and leave the application runnable. - Treat authentication, payments, encryption, imports, webhooks, and destructive actions as high-risk boundaries when present. - Never invent cryptography or silently weaken a requirement to make a test pass. - Use provider interfaces for external services and deterministic fakes in tests. - Add migrations and rollback or recovery notes for persistent data changes. - Log useful operational context without credentials, tokens, passwords, or personal data. - Update documentation and run all checks before completing a milestone. ===== MILESTONES.md ===== # Delivery milestones ## M0 — Decisions and scaffold - Confirm the runtime, persistence model, threat boundaries, and deployment target. - Create a reproducible local environment and continuous checks. ## M1 — Core workflow - Implement the smallest end-to-end product path with validation and tests. - Keep integrations behind interfaces. ## M2 — Trust layer - Add secure failure behavior, recovery paths, audit-relevant events, and data safeguards. - Test abuse cases and destructive operations. ## M3 — Operability - Add structured logs, error reporting hooks, health signals, backup/restore documentation, and deployment configuration. ## M4 — Release gate - Run a clean-install test, critical-path end-to-end test, dependency review, and documented rollback exercise. - Compare the shipped behavior with `PRODUCT.md` and publish remaining limitations. ===== OPERATIONS.md ===== # Operations ## Before release - Validate configuration and secrets at startup. - Define backup, restore, and rollback procedures and test them. - Document logs, error tracking, health signals, and alert ownership. - Set dependency update and vulnerability review expectations. ## Incident checklist 1. Contain the issue without destroying evidence or user data. 2. Record the timeline and affected scope. 3. Rotate exposed secrets and revoke compromised sessions or credentials. 4. Restore from a verified source when needed. 5. Document the root cause, remediation, and regression test. ## Launch constraint Do not market omitted Albato capabilities as implemented. The v1 non-goals in `PRODUCT.md` remain user-visible limitations until they are deliberately delivered.
# Albato indie build ## Goal Build the smallest trustworthy replacement for the core Albato workflow for one developer or a tiny team. ## Scope Connect two specific services, execute a small durable workflow, expose every transformation and retry in the logs, and avoid claiming a general integration platform. ## Quick start 1. Install the documented dependencies. 2. Copy `.env.example` to `.env`. 3. Run the development command chosen during implementation. 4. Complete the acceptance checks in `BUILD_PLAN.md`. ## Honest limits This build deliberately does not replace: - connector library, app integrator, OAuth, hosted execution, and support - thousands of connectors - maintained OAuth applications - schema-drift handling - high-scale durable execution and support If those capabilities are essential, use Activepieces instead of pretending the gap is solved.
# Agent instructions - Optimize for a working, understandable weekend build. - Prefer the fewest moving parts that satisfy the brief. - Do not invent cryptography, security guarantees, APIs, or compliance claims. - Keep secrets out of source control and logs. - Add focused tests for destructive, security-sensitive, and data-loss paths. - Run the project checks before declaring the build complete. - Record any deliberate shortcut in the README under "Tradeoffs".
# Build plan ## Original build brief Build a closest honest personal substitute for Albato in an empty repository. Use TypeScript, Node.js 22, PostgreSQL, Redis, BullMQ, and Docker Compose; do not offer alternative stacks. The core loop is: connect two specific services, execute a small durable workflow, expose every transformation and retry in the logs, and avoid claiming a general integration platform. Make the first run work locally with one documented command. Store all user data locally by default and make export straightforward. Put secrets in .env, ship .env.example, and never commit credentials. Implement a fixed trigger, transform, condition, and action workflow model rather than a general visual language. Connect exactly two named services using documented APIs and encrypted credentials. Store every run, step input hash, output summary, retry, and final status in PostgreSQL. Make side effects idempotent and support retry from the failed step without repeating completed actions. Add rate limits, backoff, dead-letter handling, manual replay, cancellation, and secret rotation. Ship Docker Compose, health checks, sample workflows, tests, backups, and connector-limit documentation. Include clear empty, loading, success, and recoverable error states. Add input validation, safe filenames, and graceful handling of unavailable APIs. Write focused tests for the core transformation and one end-to-end happy path. Create a README with setup, architecture, permissions, data location, and backup steps. Do not add accounts, billing, telemetry, analytics, or a hosted control plane. Do not claim to reproduce proprietary data, network liquidity, regulated access, or frontier infrastructure. Deliberately leave out a broad connector marketplace. Deliberately leave out unreviewed user code execution. Deliberately leave out enterprise governance, guaranteed execution, and vendor-operated OAuth apps. Finish by running the tests and listing the exact commands used. ## Required capabilities - OAuth or API credentials for two chosen services - PostgreSQL - Redis - public HTTPS endpoint - background worker ## Delivery order 1. Scaffold the smallest runnable application and document its commands. 2. Implement the primary data model and core workflow. 3. Add validation, safe failure states, and persistence. 4. Cover the critical path with automated tests. 5. Exercise a clean install from the README and fix every missing step. ## Done when - A new user can go from clone to first successful workflow using only the README. - The core workflow works without paid infrastructure unless the brief requires it. - Tests cover the highest-risk behavior. - Known limitations are explicit rather than hidden.
# Copy to .env and document every variable when it is introduced. # Never put real credentials in this file. APP_ENV=development # Add only values required by the selected implementation.
# Albato product brief ## Problem A consolation build is possible, but the paid product's decisive value sits outside a solo rebuild. For Albato, connect two services and expose every transformation and retry. The hard boundary is connector library, app integrator, oauth, hosted execution, and support, plus connector breadth and execution reliability. ## Product outcome Connect two specific services, execute a small durable workflow, expose every transformation and retry in the logs, and avoid claiming a general integration platform. ## Target user A serious builder who needs a maintainable product foundation rather than a one-off demo. ## Required capabilities - OAuth or API credentials for two chosen services - PostgreSQL - Redis - public HTTPS endpoint - background worker ## Explicit non-goals for v1 - connector library, app integrator, OAuth, hosted execution, and support - thousands of connectors - maintained OAuth applications - schema-drift handling - high-scale durable execution and support ## Success criteria - The primary workflow is measurable end to end. - Setup is reproducible in a clean environment. - Failure, recovery, and support paths are documented. - Product claims match what the implementation actually guarantees.
# Architecture ## Starting brief Build a closest honest personal substitute for Albato in an empty repository. Use TypeScript, Node.js 22, PostgreSQL, Redis, BullMQ, and Docker Compose; do not offer alternative stacks. The core loop is: connect two specific services, execute a small durable workflow, expose every transformation and retry in the logs, and avoid claiming a general integration platform. Make the first run work locally with one documented command. Store all user data locally by default and make export straightforward. Put secrets in .env, ship .env.example, and never commit credentials. Implement a fixed trigger, transform, condition, and action workflow model rather than a general visual language. Connect exactly two named services using documented APIs and encrypted credentials. Store every run, step input hash, output summary, retry, and final status in PostgreSQL. Make side effects idempotent and support retry from the failed step without repeating completed actions. Add rate limits, backoff, dead-letter handling, manual replay, cancellation, and secret rotation. Ship Docker Compose, health checks, sample workflows, tests, backups, and connector-limit documentation. Include clear empty, loading, success, and recoverable error states. Add input validation, safe filenames, and graceful handling of unavailable APIs. Write focused tests for the core transformation and one end-to-end happy path. Create a README with setup, architecture, permissions, data location, and backup steps. Do not add accounts, billing, telemetry, analytics, or a hosted control plane. Do not claim to reproduce proprietary data, network liquidity, regulated access, or frontier infrastructure. Deliberately leave out a broad connector marketplace. Deliberately leave out unreviewed user code execution. Deliberately leave out enterprise governance, guaranteed execution, and vendor-operated OAuth apps. Finish by running the tests and listing the exact commands used. ## Boundaries Separate the product into replaceable modules for interface, application logic, persistence, external integrations, and operational concerns. Keep domain logic independent from delivery frameworks and vendors. ## Production baseline - Configuration: validated at startup with safe local defaults where possible. - Security: least privilege, input validation, secret redaction, rate limits on abuse-prone paths, and no invented security primitives. - Data: explicit schema and migrations, transactional writes where integrity matters, backup and restore instructions. - Integrations: adapters around third-party providers, idempotent webhook or job processing, bounded retries, and timeouts. - Observability: structured logs with request or operation IDs, an error-tracking hook, and health/readiness checks where a server exists. - Quality: unit tests for domain rules, integration tests at module boundaries, and one end-to-end critical-path test. ## Decision records For each major dependency, document why it was chosen, its failure mode, and how it can be replaced. Do not introduce infrastructure until a requirement justifies it.
# Agent instructions - Read `PRODUCT.md` and `ARCHITECTURE.md` before changing code. - Implement milestone by milestone; keep each change reviewable and leave the application runnable. - Treat authentication, payments, encryption, imports, webhooks, and destructive actions as high-risk boundaries when present. - Never invent cryptography or silently weaken a requirement to make a test pass. - Use provider interfaces for external services and deterministic fakes in tests. - Add migrations and rollback or recovery notes for persistent data changes. - Log useful operational context without credentials, tokens, passwords, or personal data. - Update documentation and run all checks before completing a milestone.
# Delivery milestones ## M0 — Decisions and scaffold - Confirm the runtime, persistence model, threat boundaries, and deployment target. - Create a reproducible local environment and continuous checks. ## M1 — Core workflow - Implement the smallest end-to-end product path with validation and tests. - Keep integrations behind interfaces. ## M2 — Trust layer - Add secure failure behavior, recovery paths, audit-relevant events, and data safeguards. - Test abuse cases and destructive operations. ## M3 — Operability - Add structured logs, error reporting hooks, health signals, backup/restore documentation, and deployment configuration. ## M4 — Release gate - Run a clean-install test, critical-path end-to-end test, dependency review, and documented rollback exercise. - Compare the shipped behavior with `PRODUCT.md` and publish remaining limitations.
# Operations ## Before release - Validate configuration and secrets at startup. - Define backup, restore, and rollback procedures and test them. - Document logs, error tracking, health signals, and alert ownership. - Set dependency update and vulnerability review expectations. ## Incident checklist 1. Contain the issue without destroying evidence or user data. 2. Record the timeline and affected scope. 3. Rotate exposed secrets and revoke compromised sessions or credentials. 4. Restore from a verified source when needed. 5. Document the root cause, remediation, and regression test. ## Launch constraint Do not market omitted Albato capabilities as implemented. The v1 non-goals in `PRODUCT.md` remain user-visible limitations until they are deliberately delivered.
$ choose a build depth, inspect the files, then open the complete pack in your agent · this prompt is generated from the build plan · improve it via PR
People still pay for Albato because one automation is easy; maintaining hundreds of connectors and making every run recoverable is the business. The recurring cost buys OAuth review, token refresh, webhooks, polling, schemas, retries, idempotency, queues, secrets, rate limits, observability, and upgrades, not just the visible interface.
xconnector library, app integrator, OAuth, hosted execution, and support
xthousands of connectors
xmaintained OAuth applications
xschema-drift handling
xhigh-scale durable execution and support
Don't feel like building it? These folks already made it free.
all 3 free alternatives to Albato →· no votes, no pay-to-list · just what's real
Albato pricing
| plan | monthly | annual (per mo) | what you get |
|---|---|---|---|
| free | $0/workspace | $0/workspace | 100 transactions/month; 5 active automations; 2 steps per automation; unlimited app connections; 7-day logs; 15-minute update interval |
| pro | $22/workspace | $15/workspace | Starts at 1,000 transactions/month; unlimited automations and steps; 1 user; 30-day logs; 5-minute update interval |
| teams | $93/workspace | $65/workspace | Starts at 5,000 transactions/month; 5 users; unlimited automations/steps; 30-day logs; 3-minute update interval |
| custom | custom | — | Custom transaction allowance; unlimited users; 60-day logs; 1-minute update interval; dedicated CSM and SLA |
free tier100 transactions/month, 5 automations, 2 steps per automation, unlimited connections, 7-day logs and 15-minute update interval
billingfree + monthly and annual billing; annual saves up to 30%; paid prices increase with the selected transaction package
hidden costsAutomatic overages can continue after the included transactions; at the base Pro package extra transactions are listed at $0.033 each and cost 50% more per unit than included transactions; AI usage counts 2,000 tokens as 1 transaction
verified 2026-08-14 · source ↗
Vibecode Albato
Not really. Albato's value is not the code: Recheck price before merge. See the honest breakdown above.
How much does Albato cost?
Albato costs about $22/month (Pro, checked 2026-08-14), which is $264 per year.
What do I lose by replacing Albato?
Honestly: connector library, app integrator, OAuth, hosted execution, and support; thousands of connectors; maintained OAuth applications; schema-drift handling; high-scale durable execution and support. If any of those are load-bearing for you, keep paying.
Is there an open-source alternative to Albato?
Yes: Activepieces Community Edition (Zapier with a Docker bill and no task meter.) Automatisch (A smaller Zapier clone with fewer connectors and a proper AGPL license.) n8n Community Edition (A broad visual connector catalog with retries and logs; free for internal self-hosting, fair-code rather than open source.) All 3 curated free alternatives are at vibecodeit.com/albato/alternatives. The prompt is for when you want it exactly your way.