ChatGPT Claude Wrapper

Browser wrapper adding folders, prompt library, search, and team sharing to ChatGPT/Claude conversations with one-time license pricing · AI Chat Enhancement

STOP · SKIP

3.6 ShipScore / 10

Scale decent; control abysmal — you're a tenant on OpenAI's DOM.

Condition: Only revisit if you pivot to a cross-model workspace with your own data layer and API-based backend, not a DOM-scraping extension, and can show 100 paying users at recurring pricing.

Part I — The Verdict what the instruments read

01 — The ShipScore breakdown

Control

Entry barriers

Need

Time-freedom

Scale

What the five commandments measure

C — Control	Do you own the customer, or does a gatekeeper stand between you and revenue?
E — Entry	How hard is this to copy once it works? A rival's existence isn't the question — the durability of their advantage is.
N — Need	Is demand proven with money rather than vibes?
T — Time	Can income detach from your hours, or did you buy yourself a job?
S — Scale	How far does it reach without linear cost?

Scored on the evidence below, against CENTS as we've adapted it plus a Buffett-style moat reading of every rival — the same referee for every idea, including the ones we generate ourselves. The verdict follows the arithmetic: we never relabel a score to make it read better, and the weakest commandment is always named. The exact rubric stays in-house so the scale can't be written for.

02 — The pace test — $1M/yr

At $9/mo (assumed category price), you need 9,260 subscribers for a $1M/yr pace.

Nearest tracked rivals on that curve:

AmICited

$10k 12%

HorizonX

$2k 2%

Part II — The Evidence the receipts, good and bad

03 — Rival scan — corpus tracks 7 similar, 1 stalled under $2k MRR

AI Toolbox	6 reviews · 5.0★ (appsumo)
Prompt Architects	128 reviews · 4.9★ · CENTS 5.2 (appsumo)
AI Context Flow	24 reviews · 4.6★ (appsumo)
Prompt Builder	4 reviews · 5.0★ (appsumo)
AmICited	verified MRR $10k (x)
HorizonX	verified MRR $2k (x)

Prompt Architects — 128 reviews at 4.9★ on AppSumo — already owns the prompt-library wedge at lifetime-deal pricing.
AI Context Flow — 24 reviews, 4.6★ — same context/organization pitch, already shipped and validated on the same channel.
OpenAI/Anthropic themselves — Projects, folders, search and team sharing are native first-party features; every release erases your feature list.

04 — Demand evidence

.Corpus tracks 7 near-identical products — supply is saturated, which signals cloneability more than demand.
AppSumo review counts are thin: 6, 24 and 4 reviews on three of four rivals — weak paid traction.
Only verified revenue points are HorizonX at $2k MRR (a tracked stall) and AmICited at $10k MRR, a different use case.
Zero Reddit demand signals found for these keywords — no organic complaint volume to point at.

05 — Risks

One-time license pricing means no recurring revenue against ongoing maintenance from constant UI changes upstream.
ChatGPT/Claude ship folders, search and Projects natively — your entire feature set is a roadmap item for them.
AppSumo lifetime deals anchor the category near zero price and attract refund-heavy buyers.
DOM-scraping extensions break weekly; support load scales with users while revenue doesn't.

06 — Kill switches — what kills this with one decision

OpenAI/Anthropic web UI changes or ToS on automation — A single frontend refactor or scraping ban breaks the wrapper for every user overnight.
Chrome Web Store review policy (Manifest V3, broad host permissions) — Delisting or permission rejection removes your only distribution and install path instantly.
Native feature release by the model vendors — Folders/search/sharing shipping in-product makes the paid wrapper redundant in one announcement.

Part III — The Plan if you insist on proceeding

07 — What this scan can't tell you

Cannot tell refund rates or actual net revenue behind the AppSumo review counts shown.
No visibility into whether team/enterprise buyers would pay seat-based pricing versus solo LTD buyers.
Cannot see how fast OpenAI/Anthropic roadmaps will absorb these specific features.

Scores judge the market and business model — not your ability to execute. Verified MRR = independently tracked revenue; reviews/upvotes = platform-reported. Judged 2026-08-04.

08 — The wedge & the next step

Cross-model, API-backed workspace that owns the conversation data itself — portable across ChatGPT, Claude and Gemini — sold to teams on seats, not a browser overlay sold once.

Cheapest next step: Spend an afternoon reading the 1-3★ reviews and refund threads on Prompt Architects and AI Context Flow, then DM 10 of their buyers asking what they still pay for six months later.

Not quite it? Spin the model

Business-model variations of this idea, engineered to beat 3.6 — different vertical, audience, model, or wedge. Same harsh scale. Pro feature.

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