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Seranova is an automated reputation management platform designed for local service businesses that depend on Google Reviews to acquire customers. It replaces manual follow-ups, inconsistent review requests, and reactive problem handling with a predictable, automated workflow.
The platform sends post-job feedback requests via SMS, analyzes customer responses using sentiment analysis, and routes the interaction based on the message's tone. Positive replies receive a Google Review link, neutral replies receive a simple clarifying question, and negative replies are escalated privately to the owner or manager before all of them are asked for a public review, giving the owners one more chance to correct whatever went wrong. This prevents minor issues from turning into public one-star reviews.
Seranova includes smart routing rules, draft responses for public reviews, and precise analytics that show patterns in feedback across technicians, locations, or service types. It is built specifically for industries like HVAC, plumbing, electrical, roofing, restaurants, salons, and clinics, where a high Google rating directly impacts bookings, revenue, and local search visibility.
The goal of Seranova is to help owners stay ahead of customer sentiment, improve service quality over time, and maintain a steady stream of authentic five-star reviews without manually chasing customers or micromanaging technicians.
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Based on our record, GitHub seems to be more popular. It has been mentiond 2466 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.
// ==UserScript== // @name GitHub -> Obsidian Task // @namespace obsidian // @version 1.0 // @match https://github.com/*/*/issues/* // @match https://github.com/*/*/pull/* // @grant GM_setClipboard // ==/UserScript== (function () { 'use strict'; function getTitle() { return document.querySelector("bdi")?.textContent.trim(); } function copyTask() { ... - Source: dev.to / about 14 hours ago
Import requests From bs4 import BeautifulSoup From datetime import datetime Def fetch_github_trending(): url = "https://github.com/trending?since=daily" response = requests.get(url) soup = BeautifulSoup(response.text, 'html.parser') repos = [] for article in soup.select('article.Box-row'): repo_link = article.select_one('h2 a')['href'] stars_today =... - Source: dev.to / 1 day ago
Git clone https://github.com//.git /opt/app Cd /opt/app Docker build -t app . Docker run -d --name app --restart unless-stopped -p 8080:8080 app. - Source: dev.to / 5 days ago
The core of the ecosystem is the official open-source server hosted on GitHub. It is written in TypeScript and implements the full MCP specification. - Source: dev.to / 10 days ago
This is why the gate needs a trace it can trust, and why AgentLens is the other half of this workflow. agent-eval scores and gates the output; AgentLens captures the trace of how the agent got there โ every model call and tool step, the resolved inputs (not the templated ones), the raw outputs. That trace is exactly the unforgeable, agent-didn't-author substrate that Tier 1+2 need to score against. Without it,... - Source: dev.to / 10 days ago
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