An AI assistant that writes and schedules polite payment reminders for freelancers with overdue invoices.中文翻译生成中，稍后刷新即可看到。
目标用户：Solo freelancers and small studios with 5–30 invoices a month中文翻译生成中，稍后刷新即可看到。
Freelancers repeatedly describe late payments as an emotional and administrative burden. They do not need another invoice generator; they need help writing the follow-up. Existing tools either schedule generic reminders or target finance teams. A focused product with a review step and relationship-aware copy has a credible wedge.中文翻译生成中，稍后刷新即可看到。
机会评分
22/25需求5
需求: Multiple threads with hundreds of comments describe the same cash-flow pain in the same week.中文翻译生成中，稍后刷新即可看到。
付费意愿4
付费意愿: Freelancers already pay for invoicing and accounting tools, so $10–20/mo is inside the existing budget.中文翻译生成中，稍后刷新即可看到。
流量4
流量潜力: High-intent searches like “late invoice reminder” and “client won’t pay” have steady volume.中文翻译生成中，稍后刷新即可看到。
空白4
竞争空白: Existing tools schedule reminders but rarely write context-aware, relationship-safe emails.中文翻译生成中，稍后刷新即可看到。
可实现5
可实现性: One form, one LLM prompt, and one email scheduler. A beginner can ship the core in a week.中文翻译生成中，稍后刷新即可看到。
重复频率—
重复频率: 未评分：这个点子评分时还没有这一项。
点一下分数查看理由。
需求证据
证明确实有人在找这类产品的真实帖子。
付费证据
表明人们已经在为相近方案付费的信号。
竞品
谁已经解决了其中一部分问题，以及他们哪里做得不够。
| 竞品 | 价格 | 短板 |
|---|---|---|
| Chaser | $40+/mo中文翻译生成中，稍后刷新即可看到。 | Built for finance teams; onboarding assumes an accounts-receivable process.中文翻译生成中，稍后刷新即可看到。 |
| InvoiceSherpa | $29+/mo中文翻译生成中，稍后刷新即可看到。 | US-centric, heavy setup, and no tone control for the reminder copy.中文翻译生成中，稍后刷新即可看到。 |
| Wave | Free中文翻译生成中，稍后刷新即可看到。 | Invoicing only; reminders are manual or generic templates.中文翻译生成中，稍后刷新即可看到。 |
空白在哪里
The market splits between scheduling tools with generic templates and enterprise collections software. The missing product is a small, relationship-aware writer with a human approval step.中文翻译生成中，稍后刷新即可看到。
证据缺口
这份报告无法核实的内容。请把它们当作待解决的问题。
- No public data on how many freelancers would pay $19/mo versus $9/mo.中文翻译生成中，稍后刷新即可看到。
- Most visible threads are US-centric; validate demand in non-US markets before pricing.中文翻译生成中，稍后刷新即可看到。
- A few commenters say they already use ChatGPT manually, so the product must save time beyond a prompt.中文翻译生成中，稍后刷新即可看到。
启动包
需求文档、技术栈和逐步构建的提示词。都可以复制。
AI Invoice Chaser for Freelancers
Overview
A small web app that helps a freelancer turn an overdue invoice into a calm, professional follow-up sequence. The user pastes the invoice details, adds one line of context, reviews three AI-written emails, and schedules them.
Tech stack
- Next.js App Router + TypeScript
- Tailwind CSS for the UI
- Postgres + Drizzle ORM
- Resend (or any transactional email API) for sending
- One LLM API for email generation
Core features
- Invoice intake form: client name, amount, due date, invoice link, relationship context.
- Reminder sequence generator: three emails with increasing firmness.
- Review screen: edit subject and body, preview, approve.
- Scheduling: send on day 0, day 3, and day 7 after approval.
- Activity log: what was sent, when, and whether the invoice was paid.
Do not build yet
- Payment processing
- Accounting integrations
- Team accounts
- Mobile app
Done when
A user can add one invoice, approve a three-email sequence, and see all three emails scheduled without leaving the app.
中文翻译生成中，稍后刷新即可看到。第 1 步
Scaffold the app（翻译中）
Create a Next.js App Router project with TypeScript, Tailwind CSS, and Drizzle. Add a single page at /invoices with a clean empty state. Do not add authentication yet.
中文翻译生成中，稍后刷新即可看到。第 2 步
Build the invoice form（翻译中）
Add a form with client name, client email, invoice amount, due date, invoice URL, and a short relationship note. Validate required fields and show inline errors. Save the invoice to Postgres.
中文翻译生成中，稍后刷新即可看到。第 3 步
Generate the sequence（翻译中）
Write a server action that sends the invoice context to the LLM and asks for exactly three emails as JSON: friendly reminder, firmer follow-up, final notice. Each email needs a subject and a body under 120 words. Validate the JSON before saving.
中文翻译生成中，稍后刷新即可看到。第 4 步
Review and edit（翻译中）
Build a review screen that shows the three emails in editable text areas. Add a Preview button that renders the email as the client would see it. Save edits back to the database.
中文翻译生成中，稍后刷新即可看到。第 5 步
Schedule sends（翻译中）
Add a scheduler that sends email one immediately, email two after 3 days, and email three after 7 days. Use a jobs table and a protected cron endpoint. Log every send with a status.
中文翻译生成中，稍后刷新即可看到。第 6 步
Activity log（翻译中）
Create a dashboard that lists every invoice with its current status and the exact emails sent. Add a “Mark as paid” button that stops future reminders.
中文翻译生成中，稍后刷新即可看到。上线前检查
- Test the sequence with three real invoices中文翻译生成中，稍后刷新即可看到。
- Add consent and unsubscribe language to every email中文翻译生成中，稍后刷新即可看到。
- Handle time zones when scheduling sends中文翻译生成中，稍后刷新即可看到。
- Log every send with provider message IDs中文翻译生成中，稍后刷新即可看到。
- Add a plain-text fallback for email clients中文翻译生成中，稍后刷新即可看到。
- Write a one-page privacy note about storing client emails中文翻译生成中，稍后刷新即可看到。