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Rosie is an AI Phone Answering Service for Small and Medium Businesses.
With Rosie, businesses can make sure they never miss another call from a potential customer, as well as take great care of existing customers.
The AI will answer the phone 24/7/365, provide callers with accurate information, take effective messages for the business, and even set appointments directly on your calendar.
If you're tired of seeing missed calls, prospective customers hanging up on voicemail, and not being able to answer the phone while on the job or when the office is closed, Rosie is the answer.
It's simple to set up in minutes, forward calls to your new Rosie number when you can't answer the phone, and then manage calls in your Rosie admin.
Key Features include:
Rosie is perfect for home service businesses, local businesses, or any businesses that have new leads calling them on the phone.
Rosie PixelAPI.devNo features have been listed yet.
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Based on our record, PixelAPI.dev should be more popular than Rosie. It has been mentiond 4 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.
It sounds like an answering service like Rosie (no affiliation): https://heyrosie.com/. - Source: Hacker News / about 1 year ago
Import httpx Import os PIXELAPI_KEY = os.environ["PIXELAPI_KEY"] Def color_grade(image_url: str, style: str) -> str: response = httpx.post( "https://pixelapi.dev/api/color-grade", headers={"Authorization": f"Bearer {PIXELAPI_KEY}"}, json={ "image_url": image_url, "style": style, }, timeout=30, ) response.raise_for_status() return... - Source: dev.to / 3 months ago
I shipped PixelAPI's /v1/pattern endpoint yesterday — 8 styles, 512px or 1024px output, recolor + upscale ops, fully seamless tileable. At $0.008/pattern, it's 2-5× cheaper than PatternedAI's GUI sessions. - Source: dev.to / 4 months ago
Import fs from "fs"; Import path from "path"; Import fetch from "node-fetch"; Import FormData from "form-data"; Async function addShadow(imagePath) { const form = new FormData(); form.append("image", fs.createReadStream(imagePath)); const response = await fetch("https://pixelapi.dev/api/shadow-generator", { method: "POST", headers: { Authorization: `Bearer ${process.env.PIXELAPI_KEY}`, ... - Source: dev.to / 4 months ago
Free credits at pixelapi.dev — no card needed. Run your hardest test images through it. - Source: dev.to / 5 months ago
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