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Elixir
Roonly
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Roonly is the AI-powered sales coaching platform built for door-to-door and field sales teams. Record real conversations from your phone or Apple Watch, get instant AI analysis on every pitch, and train reps with sub 2-second AI roleplay that adapts with dynamic emotion and real objections. Roonly is the only platform that completes the full Record, Analyze, Train loop. Competitors like Rilla and Siro stop at recording and analysis. Roonly goes further with Duolingo-style lessons, a "Try Again" feature for instant rep improvement, and game film libraries built automatically from your top closers. Purpose-built for roofing, solar, HVAC, pest control, home services, insurance, and B2B field sales teams. Teams using Roonly see 40% higher close rates, 70% faster onboarding, and 30% lower rep turnover.
Python
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Roonly's answer:
VS Code, Anthropic, AWS
Roonly's answer:
Existing competitors were missing the rest of the training loop. They only recorded and analyzed, this doesnt scale without adding more managers. Teams were limited with how many new reps they could hire. Roonly solved this by adding automated training for each individual rep and scales winning patterns across the team.
Roonly's answer:
Vivint, Patterson Homes
Roonly's answer:
In field sales reps and their managers. Door to door primarily, but we have helped home service, construction, real estate etc.
Roonly's answer:
Our product is complete, it isn't just coasting on tech from a few years ago. The more you use Roonly, the better it gets. We aren't price gouging.
Roonly's answer:
Roonly is the only sales coaching platform that completes the full Record, Analyze, Train loop in one product. Most competitors stop at recording and analysis. Roonly closes the gap with AI roleplay that responds in under 2 seconds with dynamic emotion, a "Try Again" feature so reps can immediately redo weak moments, Duolingo-style micro lessons generated from real call data, and game film libraries that automatically build from your best closers. Every conversation makes the AI smarter through a data flywheel, so coaching improves the more your team sells. Built specifically for door-to-door and field sales, not retrofitted from inside sales tools.
Based on our record, Python seems to be more popular. It has been mentiond 299 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.
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 / 3 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 / 3 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 / 4 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 / 6 months ago
Import time Import requests Import asyncio Import aiohttp Urls = [ 'https://example.com', 'https://httpbin.org/get', 'https://python.org' ] # Synchronous version Def sync_fetch(): for url in urls: response = requests.get(url) print(f"{url} fetched with {len(response.text)} characters") # Async version Async def async_fetch(): async with aiohttp.ClientSession() as session: ... - Source: dev.to / 9 months ago
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
Siro - Bringing conversation intelligence to outside sales
Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible
Cold Coach - Real-time AI coaching for outbound sales and cold calls
C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation
GetDealsAI - AI sales trainer that helps reps close faster