BuzzGuru Reviews

GitHub Reviews

1. Reinhard

   · Boss at CLOUD Meister · over 5 years ago
   perfect 4 open Source

BuzzGuru mentions (4)

• Best Influencer marketing softwares for 2023?

  BuzzGuru has really good filtering as for me, also the data of the accounts is quite rich there. Source: over 3 years ago

• Looking to hire TikTok creators for Ad content.

  Use a discovery platform to your liking. Personally I recommend this one https://buzzguru.com/ It has a plenty of useful filters that help weed out irrelevant creators at once and only see those who may suit a brand's requirements. Source: over 3 years ago

• Best routes to influencer engagement?

  But if you are willing to manage influencer marketing all by yourself, consider learning about the data and metrics that matter and also using a special tool/platform. BuzzGuru helps with this a lot, for example: it has data breakdowns for you to seed out strictly irrelevant influencers, allows to search and evaluate content (including its performance) first, and see what influencers that you may want to engage... Source: almost 4 years ago

• Hi all! My startup is super new to influencer marketing so my apologies if the question is stupid. Why do tiktok influencers not put their emails in their bio?

  Some TikTok creators don't do brand deals, others operate only through their agencies. Anyway, here you can use a tool to search for TikTok influencers' data and contacts yourself. If you're going to scale your influencer marketing in-house, I suggest getting this tool for help and automation. If you don't want to build a marketing team in-house, they also have an agency to help you with influencer marketing... Source: almost 4 years ago

GitHub mentions (2466)

• Automate copying text from web browser using Bookmarklet or Tampermonkey

  // ==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 7 hours ago

• Weekly Generative AI Tool Series: A Deep Dive

  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

• How I Manage My VPS With Pi’s SSH Extension

  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

• Awaithuman: pagerduty mcp

  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 / 9 days ago

• Short-Circuit Your Agent Evals: Tier Order Is a Latency Budget, Not a Preference

  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 — 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