Neon vs ScreenplayIQ

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-10-18
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At a glance

DimensionNeonScreenplayIQ
CategoryServerless Postgres + full backend platformAI screenplay analysis service
Pricing modelFreemium (free plan + paid tiers, Scale plan for compliance)Paid per script, page-length-based for TV and features
Primary userServerless app devs, multi-tenant SaaS, AI agent buildersScreenwriters, producers, directors, agents, executives
Core capabilityLakebase Postgres, branching, autoscaling, Data API, Functions, AI GatewayLoglines, synopses, comparable films, character emotional journey charts
Neon
Neon

Neon is serverless Postgres with instant branching, autoscaling, and a full backend agents can provision.

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ScreenplayIQ
ScreenplayIQ

AI screenplay analysis that returns a logline, comps, character arcs, and proofed fixes on your draft

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Pricing
Freemium
Paid
Plans
$0/mo
Usage-based, typical $15/mo
Usage-based, typical $701/mo
~$24 TV / ~$38 Feature
~$48 TV / ~$78 Feature
~$60 TV / ~$98 Feature
~$24 TV / ~$38 Feature
Custom
Popularity
21 views
7.5k views
Skill Level
Advanced
Intermediate
API Available
Platforms
WebCLIAPIPlugin
WebAPI
Categories
⚙️ Developer Infrastructure🗄️ Vector Databases & Retrieval🚦 LLM Gateways & Model Routers
📖 Fiction & Screenwriting
Features
Lakebase Postgres serverless database with storage and compute separated
Autoscaling of CPU and memory, monitored ten times per second
Instant database branching with copy-on-write, plus ephemeral branches that auto-delete
Realtime Live SQL that turns any query into a reactive query with no polling (Beta)
Branchable S3-compatible Object Storage that versions alongside the project
Managed Better Auth: sign-up, OAuth, and sessions stored in the neon_auth schema
Long-running Node.js Functions deployed next to the database, with custom domains
Function triggers on UTC cron schedules and object-created events
AI Gateway: one OpenAI-compatible key for frontier and open-source models at provider prices
AI Gateway catalog including claude-sonnet-5-5, gpt-6-sol, gemini-3-7-flash, grok-4-7
AI Gateway embeddings endpoint serving 1024-dim vectors, billed on input tokens
Data API: instant HTTPS REST endpoints over Postgres tables
Lakebase Search for vector, keyword, and hybrid search on Postgres 16+
Point-in-time restore with up to 30-day history window on Scale
High availability on multi-AZ storage by default, with read replicas at no added storage cost
Generate a logline from a full screenplay draft
Surface comparable films and TV shows for market framing
Break a script into structured story points
Produce a full synopsis without reading the whole draft
Write character synopses for the full cast
Create visual representations of characters
Chart each character's emotional journey across the script
Deliver a full assessment analysis of the draft
Break down the story's themes
Proofread report with inline highlights on every issue
Recommend a fix for each flagged issue
Build a custom analysis package outside the presets
Price analysis by page length, quoted separately for TV and features
Store uploaded scripts in encrypted, siloed storage
WGA-compliant handling of submitted scripts
Integrations
Prisma
Drizzle
Kysely
Next.js
Vercel
Netlify
Railway
Cloudflare Workers
Datadog
SigNoz
Docker
GitHub Actions
Fly
AWS PrivateLink
MCP

What real users say: Neon vs ScreenplayIQ

Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.

Neon

88 mentions across 6 sources · 48% positive — mixed (weighted across 6 sources)

Hacker News, Product Hunt, App Store, Stack Overflow, GitHub, Lemmy

What users praise

  • • Copy-on-write branching gives every PR, preview, and agent session an isolated full backend
  • • Scale-to-zero and autoscaling monitored ten times per second, even on the Free plan
  • • September 2026 GA bundles object storage, Managed Better Auth, Node functions, and an AI Gateway
  • • MCP, CLI, and SDK access let Cursor, Claude Code, and Codex provision backends without leaving the editor

What frustrates them

  • • Cloud-only with no self-host option — dead on arrival for air-gapped or strict data-residency teams
  • • Cold starts on idle workloads; scale-to-zero is a feature and a latency tax
  • • Storage-layer bugs in October 2026 (GCS list_streaming, SQL-over-HTTP empty arrays) sat open with no comments
  • • The tradeoff against Supabase is a narrower GUI and less hand-holding for beginners

Researched Oct 16, 2026

ScreenplayIQ

No verifiable community signal. We scanned public discussion on Oct 14, 2026 and found posts matching the name “ScreenplayIQ”, but could not establish that they are about this product rather than something else sharing its name. Rather than publish a score built on the wrong subject, we publish none.

Feature-by-feature

Neon's feature set is infrastructure: Lakebase Postgres with storage-compute separation, CPU/memory/storage autoscaling even on the Free plan, copy-on-write database branching, ephemeral self-deleting branches, point-in-time restore, managed Better Auth, PgBouncer pooling up to 10,000 connections, Lakebase Search (vector, keyword, hybrid), a Data API for HTTP SQL queries, S3-compatible Object Storage, Functions with cron and object-created triggers, and an AI Gateway serving frontier and open-weight models at provider prices with no markup. Integrations are developer-stack staples: Prisma, Drizzle, Kysely, Next.js, Vercel, Netlify, Railway, Cloudflare Workers, Datadog, SigNoz, Docker, GitHub Actions.

ScreenplayIQ's feature set is editorial: AI screenplay analysis with logline and synopsis generation, similar films and TV comparisons, character emotional journey charts, visual representations of characters, story-point breakdowns per script, assessment and theme analysis, and a proofread add-on with inline issue highlighting. It handles WGA-compliant scripts, stores them in siloed secure storage, and states analyzed stories are not used to train LLM models. There are no listed integrations.

The only conceptual bridge is that Neon's AI Gateway could host a model, but Neon is not a screenplay analyzer and ScreenplayIQ has zero database features — a buyer never weighs them side by side.

Pricing compared

Neon uses a freemium model: a Free plan that still includes autoscaling, plus paid tiers that unlock higher usage, with HIPAA and SOC2 gated behind the Scale plan. Its new backend primitives — AI Gateway and Data API — are sold via prepaid credits, with the Gateway explicitly priced at provider rates with no markup. There is no per-unit public price list in the data beyond that.

ScreenplayIQ is the opposite model: paid, per script, with page-length-based pricing for TV and feature scripts, and customizable analysis packages that scale from Story Analysis up through Story + Character to Full Evaluation. There's a Proofread add-on. Crucially, there's no monthly subscription and no free full-featured tier — you pay each time you submit a script, which suits occasional users who would otherwise pay for idle months.

Comparing them on price is meaningless: Neon's cost scales with compute, storage, and credits consumed by your app; ScreenplayIQ's cost scales with how many pages and how many scripts you analyze. Budget them in totally different line items.

Who should pick which

  • Serverless app developer
    Pick: Neon

    Autoscaling Lakebase Postgres with scale-to-zero and branching fits shipping apps without provisioning.

  • Multi-tenant SaaS team
    Pick: Neon

    Branches and per-tenant isolation plus PgBouncer pooling to 10,000 connections target this exactly.

  • AI agent builder
    Pick: Neon

    Lakebase Search's vector and hybrid modes plus the AI Gateway put model access and retrieval next to data.

  • Producer triaging scripts
    Pick: ScreenplayIQ

    Per-script pricing and comparable-films analysis give a fast market read without a subscription.

  • Screenwriter pre-rewrite
    Pick: ScreenplayIQ

    Character emotional journey charts and story-point breakdowns give objective structural notes before committing to a rewrite.

Frequently Asked Questions

Could a studio use Neon and ScreenplayIQ together?

Only incidentally — e.g. ScreenplayIQ isn't a database and Neon isn't an analyzer, so there's no integration path described. Any studio using both would be using them for entirely separate workflows.

Does Neon have a free tier?

Yes — it's listed as freemium, and autoscaling of CPU, memory, and storage is included on the Free plan.

Can I subscribe monthly to ScreenplayIQ instead of paying per script?

No. ScreenplayIQ is explicitly listed as not for anyone wanting a monthly subscription with unlimited analyses — it's per-script, priced by page length.

Is my script used to train models at ScreenplayIQ?

The service states analyzed stories are not used to train LLM models, and scripts are held in secure siloed storage with WGA-compliant handling.

What compliance can Neon support?

HIPAA and SOC2 are tied to committing to the Scale plan; on-premises and GovCloud deployment are not offered.

Does ScreenplayIQ list any integrations?

None are listed. Neon's integration list is developer-oriented — Prisma, Drizzle, Next.js, Vercel, Cloudflare Workers, GitHub Actions and similar.

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Last reviewed: September 28, 2026