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Eodly
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theGist
Eodly is an AI chief of staff for founders, CEOs, and team leads who run remote, distributed, or mixed teams. It replaces the daily standup meeting and the weekly status call with one sourced end-of-day report, so you learn what your team actually shipped each day instead of finding out a week later.
Here is how it works. Each team member sends one short check-in through a Slack or Telegram bot, using the chat tools they already live in. There is no new app to learn, no dashboard pointed at them, and no meeting on the calendar. Eodly then weighs every check-in against your systems of record. It reads GitHub and Linear for proof, so a claim of "almost done" is backed by a merged pull request or a moved ticket, or flagged when the evidence does not match the words.
At the time you choose, the day distills into a single end-of-day report: KPI status at a glance, who shipped with linked evidence, who has gone silent, who is slipping, and any status that contradicts the activity in your tools. Instead of chasing updates across channels, you read one sourced page in under a minute.
For teams running creators, KOLs, or paid partnerships, Eodly also gates payouts on proof of delivery, so you only pay for work that actually shipped.
Eodly is built for early-stage and growing teams that have outgrown the all-hands standup but still need daily visibility: engineering teams, marketing and ops teams, and founders managing a mix of full-time staff and external contributors. It works as an async standup tool, a team check-in and reporting layer, and a lightweight KPI and accountability system in one.
Crucially, Eodly is a chief of staff for you, not surveillance for your team. There is no keystroke logging, no screen capture, and no always-on monitoring. It reads the work people already do in Slack, Telegram, GitHub, and Linear, and turns it into a clear, evidence-based picture of progress.
Django EodlyEodly's answer:
Eodly doesn't just collect check-ins, it verifies them. Each daily update is cross-checked against GitHub and Linear, so "almost done" is backed by a merged pull request or a moved ticket, or flagged when it isn't. You get one sourced end-of-day report you can trust, not a wall of self-reported status.
Eodly's answer:
Most async standup tools stop at collecting answers. Eodly adds the evidence layer: it weighs every check-in against your systems of record and surfaces mismatches, then ships one decision-ready report each evening. It works across Slack and Telegram, not Slack-only, and it can gate KOL and partner payouts on proof of delivery, which standup tools don't do.
Eodly's answer:
Founders, CEOs, and team leads running remote, distributed, or mixed teams. Usually early-stage and growing startups of 2 to 50 people, often a mix of full-time engineers and marketers plus external contractors or creators.
Eodly's answer:
Founders usually learn what happened last week on a call held this week, by which point a quiet slip has had days to grow. Eodly was built to give daily visibility without adding meetings or surveillance: it reads the work people already do in Slack, Telegram, GitHub, and Linear and turns it into one honest end-of-day report. A chief of staff for the founder, not surveillance for the team.
Eodly's answer:
React and TypeScript on the front end, Supabase (Postgres) for data and authentication, Vercel for hosting and serverless functions, and Anthropic's Claude for the AI that reads and summarizes team activity. Integrates with Slack, Telegram, GitHub, and Linear.
Based on our record, Django seems to be more popular. It has been mentiond 16 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.
Use of settings.py as a naming convention follows in Django's footsteps, but alternatively, you can save it to .env and integrate use of python-dotenv to more closely mirror Node. - Source: dev.to / 8 months ago
Let's dive into a quick implementation of this using AWS and Django. We will be using a couple of ideas from the AWS Official Blog. - Source: dev.to / almost 2 years ago
Django is a high-level Python web framework. It is an Model-View-Template(MVT)-based, open-source web application development framework. It was released in 2005. It comes with batteries included. Some popular websites using Django are Instagram, Mozilla, Disqus, Bitbucket, Nextdoor and Clubhouse. - Source: dev.to / almost 4 years ago
This seems like a job for Django. MDN offers a really good tutorial here. To be honest, it would be a massive undertaking so Iโd recommend going for a prebuilt solution like PowerSchool and the like. Source: almost 4 years ago
The first party docs are second to none. Start out with the official tutorial on https://djangoproject.com . Source: about 4 years ago
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