quietmoneyLaper
A web-based AI screenwriting tool: it auto-formats scripts to industry standards, analyzes structure and pacing, supports real-time multi-user collaboration, and can generate characters, scene images, and storyboards from a script. It has a public script library and can import and export Final Draft format.
A Chinese-speakOne-line growth story, compiled by us from public sources; speculation is marked separately below.
Revenue over time
Real payments synced by TrustMRR, in USD, by calendar month, renewals included.
- MRR
- $46,865
- Revenue, last 30 days
- $49,581
- All-time revenue
- $183,932
- Active subscriptions
- 1,444
- Payments via
- Stripe
- Source
- TrustMRR, synced from the founder's payment account
1. Productwhat it sells, to whom, and how it charges
- Product
- A web-based AI screenwriting tool: it auto-formats scripts to industry standards, analyzes structure and pacing, supports real-time multi-user collaboration, and can generate characters, scene images, and storyboards from a script. It has a public script library and can import and export Final Draft format.
- Users
- Professional screenwriters, directors, producers, and storyboard artists, plus film and video creators who want to turn ideas into standard-format scripts
- Positioning
- Sells 'AI screenwriting without the AI aftertaste': humans write the script, AI only handles formatting, analysis, and revision suggestions, and it covers pre-production from script to storyboard.
- Pricing
- Junior $0; Senior $20/month; Elite $60/month; Master $100/month; Legend $400/month (yearly billing is discounted) Billing: subscription Free tier: yes Source: Homepage
- Prices on site
- $0/mo; $20/mo; $60/mo; $100/mo; $400/mo
- Team
- small team
- Sharing mechanics
- public profiles / leaderboards "Browse real projects that owners intentionally made public." "Use durable engagement signals to discover public work." "Remix an allowed public work without editing the original." Collaborators panel in UI mockup.
“"Browse real projects that owners intentionally made public." "Use durable engagement signals to discover public work." "Remix an allowed public work without editing the original." Collaborators panel in UI mockup.”Quote from the site
2. Channelswhere new users come from and what the traffic looks like
New-user source: SEO (Non-brand search). Similarweb last month: Direct 47.1%, Organic Search about 40%, Referrals about 8%, and 96% of search traffic is organic. Non-brand keywords are about 32% of search, such as ai screen writing, ai script writer, and ai screen writer. Referral sites include Chinese sites such as zmt.wiki, php.cn, and rbtab.com, about 45% of Similarweb visits come from China, and Chinese AI tool directories also list it. Founder Zhao Chunxiang (赵纯想) has about 47K followers on X (+2,300 in the last 30 days). The channels he self-reported on TrustMRR include SEO, blog, newsletter, X, Google Ads, X Ads, cold email, Hacker News, and partnerships. Existing users stay on the site through their subscriptions, projects, and collaborators.
Last month's traffic sources
Top channel measured by Similarweb, others estimated by rank
Five-class attribution
| Attributable new users, last month | Share |
|---|---|
| SEO | 32% |
| Other | 68% |
Direct + brand search 55%. Direct and brand search count as viral only when the site shows sharing mechanics; the largest share wins, under 5% means Other.
Countries
| Country | Share of visits |
|---|---|
| China | 45.17% |
| United States | 15.07% |
| United Kingdom | 5.15% |
| India | 4.56% |
| Singapore | 2.75% |
Language
English
Social sources
X, YouTube
Keywords
375 keywords · brand ~55% · organic 95.97% / paid 4.03%
| Similarweb top 5 keywords |
|---|
| laper |
| ai screen writing |
| ai script writer |
| ai screen writer |
| how much pages was the prstige script |
Non-brand queries: ai screen writing, ai script writer, ai screen writer, how much pages was the prstige script
Referring sites
18 referring sites
| Site | Share of referrals |
|---|---|
| zmt.wiki | 1.7% |
| php.cn | 1.52% |
| rbtab.com | 1.52% |
Referrer categories
| Category | Share of referrals |
|---|---|
| Computers Electronics and Technology - Other | 32.82% |
| Search Engines | 23.18% |
| Programming and Developer Software | 3.87% |
| Graphics Multimedia and Web Design | 0.65% |
| Social Media Networks | 0.42% |
Site metrics (Similarweb, last month)
- Visits, last 3 months
- 119.9K
- Visits MoM
- +42.94%
- Country rank
- China #22245
- Category rank
- Graphics Multimedia and Web Design #2250
- Bounce rate
- 42.68%
- Pages / visit
- 4.48
- Visit duration
- 00:01:53
- Top 3 channels
- Direct › Organic Search › Referrals (top channel 47.12%)
3. Growth pathhow the first users arrived and what kept it growing
Classification
Basics
Timeline
Growth loop
Revenue and scale clues
Confidence and gaps
Other sites that started via “Long-tail search”
Similar sitessame category, also growing via SEO
FAQ
How much revenue does Laper make per month?
About $46,079 last month (real payments synced by TrustMRR), #38 of 563 TrustMRR sites; the month before was $45,999.
Where do Laper's new users come from?
New-user source: SEO (Non-brand search). New users mostly come from need-based searches Similarweb last month: Direct 47.1%, Organic Search about 40%, Referrals about 8%, and 96% of search traffic is organic. Non-brand keywords are about 32% of search, such as ai screen writing, ai script writer, and ai screen writer. Referral sites include Chinese sites such as zmt.wiki, php.cn, and rbtab.com, about 45% of Similarweb visits come from China, and Chinese AI tool directories also list it. Founder Zhao Chunxiang (赵纯想) has about 47K followers on X (+2,300 in the last 30 days). The channels he self-reported on TrustMRR include SEO, blog, newsletter, X, Google Ads, X Ads, cold email, Hacker News, and partnerships. Existing users stay on the site through their subscriptions, projects, and collaborators.
How much does Laper cost?
Junior $0; Senior $20/month; Elite $60/month; Master $100/month; Legend $400/month (yearly billing is discounted)
Dossier confidence: medium. Parts 1 and 2 come from reading the site and Similarweb data; part 3 from public reporting, founder posts, Wayback snapshots, WHOIS and similar, with speculation marked.
The numbers: revenue comes from TrustMRR: real payments synced automatically from the founder's Stripe or other payment account, summed by calendar month, renewals included, in USD. Site visits come from the Similarweb public page; where it shows none, they are estimated from global rank or the TrustMRR payment count, as noted on the page.
Data through last month. Page updated 2026-10-31.