Weekly
Get a weekly summary of your Reddit mentions
Every Monday you get a summary of the posts that were really about your product, with the noise removed.
- Runs
- Weekly
- Apps
- AI
- Yes, uses the built-in AI allowance
- Access
- read
Send this to your assistant
Create a ClickRuntime automation: every Monday at 9am, search Reddit for 'Brightloom' from the past week, drop posts that aren't about my product, and email me a summary of the rest with links.
First time? Adding ClickRuntime to your assistant takes about two minutes.
Why use it
Why teams use this automation
A keyword search for your product name on Reddit returns a mix: genuine discussion of your product, posts about something else with the same name, and spam. Reading through all of it every day is tedious, and sorting out which mentions really matter is the part that takes time. Most people stop looking, and feedback goes unread.
Once a week, ClickRuntime searches the last week of Reddit posts for your product, then uses built-in AI to filter out the posts that are not really about it and summarize the rest. You get a single email with the genuine mentions grouped by theme, plus links for the ones worth replying to.
It is a good fit for teams who want regular insight into public opinion without a daily monitoring habit or a manual search.
What you get out of it
Only real mentions reach you
The relevance filter removes posts that happen to share your product's name. You spend your time on what people actually said about you, not on unrelated results. That alone can cut reading time by most of an hour.
A weekly view shows themes
Reading seven days together makes patterns visible: three people asking for the same integration or two reporting the same bug. Single daily alerts hide that kind of repetition. You can act on a pattern rather than on one anecdote.
Customer language reaches the whole team
A short summary can be forwarded to product, support and marketing. They hear honest opinions in customers' own words, not filtered through a sales rep. Hearing the same words builds shared understanding.
Less alert fatigue
A weekly email asks for ten minutes once. People who would ignore constant notifications will read a digest that arrives on schedule and is short enough to finish. A digest is something people finish.
A record of public perception builds up
Keeping each digest creates a timeline of what Reddit said about you. After a release or pricing change you can look back and see how the conversation shifted. Looking back shows whether changes helped.
How it works
What happens, step by step
Once a week, ClickRuntime searches Reddit for last week's posts that mention your brand or keywords.
AI drops the ones that aren't really about you and summarises the rest in a line each.
You get one email with the summary and a link to each post.
Before it runs live
- Connect Reddit
What you get
Build your own
Need it to work differently?
Your own rules
Conditions, thresholds, filters and exceptions, written the way you'd explain them to a colleague.
Any number of apps
One automation can read from one app and update several others. Over 248 apps are ready, and anything with an API works too.
AI where it helps
Summaries, classification, extraction and drafts use ClickRuntime's built-in AI, with no extra key.
On a schedule or on each event
Runs as often as every 5 minutes, or the moment an app sends an event, and keeps track of what it already handled.
Changes you can ask for
- Run it at a different time, more or less often, or only on weekdays
- Change what the AI looks for, or how it writes the result
- Add another app, for example also send it to Slack
- Combine it with other Reddit steps into one automation
Under the hood
The code that runs this automation
from clickruntime import on_trigger, notify, http, credentials, ai
@on_trigger
def run(event):
headers = {"Authorization": "Bearer " + credentials.connection("reddit", "main"), "User-Agent": "clickruntime-digest/1.0"}
posts = [c["data"] for c in http.get("https://oauth.reddit.com/search", headers=headers,
params={"q": "Brightloom", "sort": "new", "t": "week", "limit": 50}).json()["data"]["children"]]
if not posts:
notify.email_me("Brightloom on Reddit: no mentions", "Nobody mentioned Brightloom on Reddit this week.")
return {"posts": 0}
listing = "\n".join(f"{i}. r/{p['subreddit']}: {p['title']} | {p['selftext'][:300]} | https://reddit.com{p['permalink']}" for i, p in enumerate(posts))
summary = ai.generate(
"Brightloom is a cold email product. Drop posts that aren't about it, then summarise the rest "
"in a few bullets and list each relevant post's link.\n\n" + listing,
max_output_tokens=700,
).text
notify.email_me("Brightloom on Reddit this week", summary)
return {"posts": len(posts)}FAQ
Common questions
How is this different from the 30-minute mention alert?
What does the AI treat as a genuine mention?
Will the digest include comments mentioning my product?
What permissions does it need?
Does it need AI?
How many runs does it use?
Can I change how it works?
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