Python
JavaScript
Java
C++
Rust
Ruby
PHP
Elixir
IntakeAI
HoneyBook
Smith.ai
Ruby
Dubsado
Bonsai Proposals
IntakeAI is an AI-powered proposal generator built for freelancers, consultants, and small service businesses.
Paste a client email or project brief and IntakeAI generates a complete, professional proposal ready to send โ in under 60 seconds.
What's included in every proposal:
- Personalized scope of work based on the client's request
- Professional formatting and language
- Built-in e-signature collection
- Stripe deposit/payment collection
- Automated follow-up reminders
Additional features:
- AI Brain โ teach IntakeAI your services, pricing, and voice so proposals sound like you
- CRM to track clients and proposal status
- Calendar .ics generation for project kickoffs
- QuickBooks CSV export for bookkeeping
- File parsing โ upload documents for AI context
Python IntakeAIIntakeAI's answer:
Most proposal tools make you fill out templates from scratch. IntakeAI works the opposite way paste a client's actual email or drag in an .eml file, and AI writes the entire proposal for you. It also learns your services, pricing, and tone through the AI Brain feature so every proposal sounds like you wrote it.
IntakeAI's answer:
HoneyBook, Dubsado, and Bonsai charge $24-36/mo and still make you write proposals manually. IntakeAI generates a complete
proposal from a client email in under 60 seconds, with built-in e-signatures and Stripe payment collection. One tool replaces
your proposal writing, contract signing, and deposit collection.
IntakeAI's answer:
Freelancers, consultants, and small service businesses. Web developers, graphic designers, photographers, personal trainers, hair stylists. Anyone who gets client inquiries by email and needs to turn them into professional proposals fast.
IntakeAI's answer:
I lost my tech job during the economic downturn and went back to freelancing as an indie developer. I needed a way to send
professional proposals fast without paying $36/mo for bloated tools I'd barely use. Everything out there was either too
expensive or too complicated for a solo freelancer. So I built IntakeAI for myself. Paste the client email, get a proposal, send
it, collect the deposit. That's it. No bloat, no learning curve, no features you'll never touch. So its a tool I use daily and continue to upgrade it.
IntakeAI's answer:
Next.js, React, TypeScript, OpenAI, Stripe Connect, Prisma, Neon Postgres, Clerk authentication, Vercel hosting.
Based on our record, Python seems to be more popular. It has been mentiond 300 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
> When you download Python from http://python.org (on Linux or macOS), what you're actually downloading is an installer that builds Python from source on your machine. > The net effect is that on Linux and macOS, you can't "download a Python binary" from... anywhere. Other than the python-build-standalone project. Are you sure this is right about macOS? I just had a look inside the macOS installer from python.org... - Source: Hacker News / about 1 month ago
137Foundry provides legacy modernization services that include dependency mapping as a foundational assessment phase. Prettier and ESLint are useful companion tools for enforcing code style consistency as the refactoring proceeds. Node.js and Python.org official documentation are authoritative references for understanding the import and module systems of those runtimes. - Source: dev.to / 4 months ago
For Python codebases, tools like Python's built-in ast module and import analysis scripts can generate call graphs. For JavaScript, ESLint and module analysis tools serve a similar purpose. GitHub advanced search can help you find all internal references to a specific function across a large repository. - Source: dev.to / 4 months ago
Import asyncio Import aiohttp From bs4 import BeautifulSoup Async def scrape_and_parse(url: str, session: aiohttp.ClientSession) -> dict: async with session.get(url) as response: html = await response.text() # BeautifulSoup parsing happens after the await โ no issue soup = BeautifulSoup(html, "html.parser") return { "url": url, "title": soup.title.string if soup.title... - Source: dev.to / 5 months ago
**_Beginner mistake to avoid_** - Writing SQL only inside DBeaver - Always save SQL files in VS Code and commit them **Using PostgreSQL with Python** _**What Python does here**_ Python talks to PostgreSQL and says: - โSave this dataโ - โGet this dataโ - PostgreSQL listens. Python works. _**Step 1: Install Python **_ - Download from https://python.org - During install, check Add Python to PATH Screenshot... - Source: dev.to / 8 months ago
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
HoneyBook - Business management reinvented.
Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible
Smith.ai - Smith.a is one of the best virtual receptionist and chat services that offer phone calls, answer chats and take messages for you and your staff.
C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation
Ruby - A dynamic, interpreted, open source programming language with a focus on simplicity and productivity
