Automation and integrations decision

Adscriptly

A focused, single‑account variant (tracking + basic agents + creative gen) is realistic for a capable technical user to build and run, but the full paid product’s breadth of integrations, premium render pipelines, account‑scale data, and polished UX make a complete replacement impractical.

Visit website
You pay

$40.83/mo

$490/yr

Read off the official pricing page.

You’d pay instead

$100one-off68 h to build

$470/mo6 h/mo upkeep

On cash alone, building overtakes the subscription at 12 seats.

No open-source build does this yet

Nothing published replaces this one, so a replacement starts from an empty file. Here is what it would have to cover.

What a replacement has to do

  • Collect first‑party events, stitch identities, run scheduled optimization agents that adjust bids/budgets and push creatives to ad platforms, generate image/video ads via model APIs, and report results to Slack/dashboard.

What it still won’t have

  • Turnkey multi‑account credit/billing model and metered credit economy
  • Prebuilt deep integrations and tested connectors for many CRMs/ad platforms
  • Frontier multi‑model creative rendering and per‑clip premium rendering included in plans
  • Polished UI, approval workflows, and ad library with competitor tracking
  • Historical account memory and system‑wide learned policies trained from many customers

What remains hard

  • Product polish and ongoing maintenance
Read the build prompt

First-year cost

Keep paying

Paying is—cheaper in year one.

On cash alone, building overtakes the subscription at 12 seats.

Paid seatsseats

Money you would actually spend

Keep paying
—

Subscription price × seats × 12

Build it
—

AI build —APIs + hosting —

Time you would spend

—

—

What you would spend

What we assumed

The verdict above measures whether you could build it. This one is only about money.

Runnable build prompt

Not run yet
Build a minimal self-hosted Adscriptly replacement using Next.js (React) frontend, Node.js backend, Postgres for events and identity graph, Redis for queues, and Python worker processes for agent logic. Core features in scope: (1) a server-side tracking pixel + hosted script that writes events to Postgres; (2) identity stitching service that resolves events to people and links to CRM ids; (3) a scheduler + Python workers that run simple agents to (a) compute negative keywords, (b) propose bid/budget adjustments, and (c) upload qualified offline conversions to Google Ads via the Google Ads API; (4) creative generation integration that calls an external image/video model API (e.g., OpenAI/Anthropic or other) to produce creatives and store assets; (5) a basic dashboard to view signals, agent proposals, and send reports to Slack via incoming webhook; (6) tests (unit for matching logic, integration tests for ingestion and API calls), error handling, retries, and logging. Out of scope: multi-account credit accounting, premium 4K render pipelines, prebuilt connectors for every CRM/ad platform, and a polished ad library UI. Provide CI, containerized deploy (Docker Compose or Kubernetes manifests), and docs for obtaining required API keys and configuring OAuth for Google/Meta.
How we checked3 sources · 3/3 runs agreed · evidence score 62

How the score was reached

  • Partly verdict base52
  • 3 cited sources+3
  • Price verified on pricing page+3
  • 3/3 assessment runs agreed+4
  • Evidence score62

The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.

How scoring works →

Cited sources · 3

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

✓ Price read off the page✓ 3 independent runs, one answer✓ Citations limited to fetched pages! 1 moat recorded