Reading up on LinkedIn
16 deep · digging since dec 16, 25
- Sick of A.I. Slop? So Are Tech Giants.
Spotify, LinkedIn, and other tech companies are fighting the surge of low‑quality AI‑generated content that is clogging their online platforms.
- ReplyHey: find your customers on Reddit
ReplyHey scans Reddit, X, and LinkedIn daily for problem statements matching your product, scores them, drafts personalized replies, and provides a rule‑respecting posting plan.
- Ask HN: Why are so many "AI evangelists" posting such insufferable content?
Hacker News commenters agree that LinkedIn's AI evangelist content is insufferable spam, often AI-generated, and driven by hype and marketing rather than genuine insight.
- A backdoor in a LinkedIn job offer - Roman Imankulov
A fake recruiter sent a LinkedIn job candidate a GitHub repo with a backdoor that executes on npm install by running a remote-controlled command payload hidden in a test file.
- Is LinkedIn Entering Its Post-Cringe Era?
LinkedIn blends professional utility with celebrity posts and paid influencer content, attracting a broader audience while risking its core networking mission.
- the mathematics of multi-tenancy - by almog gavra
Multi-tenancy only reduces costs when workloads are uncorrelated, similar-sized, and numerous; S3 succeeds due to massive scale, workload diversity, and fine-grained object splitting.
- Ask HN: How did you land your first projects as a solo engineer/consultant?
Solo consultants overwhelmingly land their first projects through former colleagues and professional network referrals, not cold outreach or content marketing.
- Have a fucking website
Hacker News commenters generally agree that having a website is beneficial but argue that small businesses face significant practical obstacles, such as technical complexity and customer preference for social media platforms.
- The dead Internet is not a theory anymore
AI-generated bot content has so thoroughly flooded job applications, social media, and search results that the 'dead internet'—where most interactions are automated—is no longer a theory but a lived reality.
- AI Writing Assistant
Typefully's new AI Writing Assistant learns a user's writing voice from past posts and generates platform-native drafts directly inside its editor.
- LinkedIn checks for 2953 browser extensions
LinkedIn scans browsers for over 2,900 Chrome extensions to detect and block scraping, automation, and data-harvesting tools used for spam.
- Sign in
A LinkedIn sign-in page prompts user authentication to access messaging features.
Takes
things i use codex browser/chrome/computer for - closing the books our accounting software - clearing my linkedin queue - managing gmail / clearing inbox - setting up stripe radar rules - iterating on images in midjourney - browser based QA on every PR - build inspo library from other websites - completing security questionaires - signing up for procurement systems - research + outreach for vendors who only have crummy online forms - configuring saas when API is not available - registering for conferences - cancelling subscriptions - using iphone mirroring to use mobile apps from my desktop (look ma, no hands!) what else should I be doing?
@clairevo
I've been tinkering with an AI to increase my “luck surface area” (basically, to find interesting opportunities that exist across my entire network) and the results are ... pretty interesting. Built on my corpus of personal & professional data - everyone I’ve met with, emailed, talked to, thousands of call notes, LinkedIn connections, emails, Slacks etc. Plus it does its own desk research on my contacts overnight (did that by itself without being asked, weirdly). Example - it suggested I introduce Marco (an insurtech founder, hiring for multiple roles) to Ben (an insurance headhunter I really rate). It pieced that together through a combo of Granola transcripts, emails, LinkedIn messages, and internal Slack messages. Powered by a social graph algorithm that scores relationships and potential intros - based on things like relationship strength, recency, communication style, and “likely-mutual-value”, etc. I left it running overnight, and it: > found people who have helped me with intros & advice, but where that help hasn't been reciprocated by me - then it suggested actions I could take to repay the favours > remembered that a colleague described her ideal mentor to me in a meeting *a year ago* - found someone in my network with the exact right experience, and drafted an intro > surfaced a bunch of insights about my own life - like a drop-off in social & fitness activity since becoming a dad(!) - and set up a local run club on WhatsApp The suggestions are… surprisingly good! And devoid of the usual AI slop. I talk a lot about luck surface area - putting yourself in situations where good things tend to magically happen. This is the first time I’ve built something that actually tries to increase that surface area for me and my network. I’m quite encouraged by the results, and it was surprisingly easy to build (with @claudeai, of course). Happy to share how for anyone who is interested in building their own. @bcherny
@edleonklinger
I've been keeping a daily journal for the past ~10 years. Last year I moved everything into Notion. This year I've been steadily adding enrichment automations to fill in a daily recap with meetings from that day, people I met with, highlights from work, and things I read (syncing data from all my main apps). Everything connects nicely with other stuff in my Notion workspace, too. For example, if the automation sees I met with someone new that day, it adds them to my People database + kicks off an enrichment process to pull an avatar, website, x/linkedin/github profiles, etc. — like a little self-populating contacts list. Together, this adds a lot of texture to every journal entry + adds cues for me to journal about by hand. Anyways: connected tools + automations + a great writing surface are pretty great, highly recommend.
@brian_lovin
met a guy making $51,000/month by scraping reddit for the phrase "anyone got recommendations for" and emailing the posters within 2 hours not joking he opens reddit every morning runs a search on 8 subreddits in his niche finds people who just publicly asked for exactly what he sells and emails them while the post is still on the front page reply rate: 23% average cold email: 0.3% his is 76x higher because these people literally just raised their hand in public saying "please take my money" heres the exact phrases he searches every morning: "anyone got recommendations for [service]" "alternative to [competitor]" "looking for a good [service]" "got burned by [company], where do i go now" "has anyone used [company] — are they worth it" every one of these is a public declaration of buying intent with a timestamp on it someone posted this 4 hours ago in r/[niche]: "I need [service] urgently. Budget is $15K. Prefer someone who actually knows what theyre doing and isnt sketchy" he saw the post at 9am pulled the username cross referenced linkedin found the email sent this at 10am: "hey [name], saw your post in r/[sub] about needing [service] urgently. we do exactly that — last client we booked 34 qualified calls in a month. free 15 min call?" reply at 10:11am call at 2pm signed $15K contract by 4pm 7 hours from public reddit post to signed deal from reading reddit in the morning this is the process: step 1: find the 5-10 subreddits where your buyers hang out step 2: run searches for "recommendation" "alternative to" "looking for" "anyone use" in those subreddits every morning step 3: filter for posts under 4 hours old with clear buying intent step 4: pull the username → cross reference linkedin → find their email step 5: send a 2 line email referencing their EXACT post step 6: warm call every positive reply within 30 minutes thats it last month: - 187 reddit posts scraped - 164 emails found (90% find rate) - 38 positive replies - 24 booked calls - 11 closes - $4,600 average deal - $50,600 in revenue from reading reddit while eating breakfast heres why this layers perfectly on top of a normal cold email system: your main campaigns are emailing 4,500 cold leads a day building pipeline at scale reddit is a surgical strike on top of that the guy on reddit literally JUST declared their problem hours ago the declaration is the qualifier theres no discovering pain points they posted the problem you showed up with the solution the sales conversation is already 90% done before the call starts its the highest intent cold email you can send because it might not even feel cold they had the problem at 9am you showed up at 10am thats not a cold email thats a well timed introduction and heres the part that should make every cold emailer sick: every single person on this app is scraping apollo fighting over the same 50 million contacts meanwhile reddit has 500 million monthly users posting their exact buying requests in public timestamped organised by niche completely uncontested free nobody in cold email is scraping reddit because nobody thinks of reddit as a lead source they think of it as a place to post memes while angry buyers are literally typing their credit card out loud every single day one of the most profitable lead source on the internet has been sitting there for 15 years organising itself timestamping itself qualifying itself telling you their budget telling you their pain telling you what they just got burned by and agency owners are still writing "hey firstname hope this finds you well" to marketing directors on apollo go open reddit search one of those phrases in a subreddit in your niche youll find 10 hand raisers before your coffee gets cold simples p.s. if youre an agency owner with a proven offer and want us to setup a cold email system that books you 10-30 calls per month - DM me "EMAIL" (you ONLY pay for qualified calls actually booked onto your calendar)
@scaling_shields