u/West-Refrigerator664

few months back if you follow Lenny Rachitsky, you would know he open sourced all 300+ of his podcast transcripts. full text of every episode.

so last night as i was scrolling though some product intērview materials, i built a skill that turns each of those guests into your intērviewer. for PM intērview prep.

drills on your actual resúme points & gaps. configured to hard push you instead of nodding along.

https://i.redd.it/z21f9wh3e3jh1.gif

so here's how it works:

1. you pick a company you're intērviewing for
2. pick the product intērview round you want to prep
3. the skill then matches you with a guest who worked there.
4. (300+ guests. shreyas doshi. nikita bier. brian chesky...)
5. upload your resúme. they drill your actual background.

then the intērview. 6 phases:

→ opening (2-3 min)
they introduce themselves and ask about you.

→ experience deep-dive (8-12 min)
they pick 1-2 resúme items and grill through their actual frameworks. shreyas asks about your pre-mortems. nikita bier demands your retention curve.

→ round-specific case (12-18 min)
situational. no theory questions.

→ your questions (3-5 min)
ask them anything. in character.

→ raw gut reaction
one sentence, in character, on how the intērview went.

→ structured feedback
scorecard across 5 competencies: product sense, metrics & data, execution, structured thinking, communication. each scored 1-5. plus framework gaps, direct quotes from their episode and an improvement plan.

works with Claude, ChatGPT, Hermes, Codex, whatever agent you already use.
open sourced the repo, try here ↗ and break it. feedback appreciated

Rish from ProductMinds

P.S. also, able to post this here in the main feed about intērview prep because of the point system that mod had introduced a month back.
https://www.reddit.com/r/ProductManagement_IN/s/WaGRggnauM

linking my eligible post here as well for transparency:)
https://www.reddit.com/r/ProductManagement_IN/s/KvEE8lyxEd

few months back if you remember Lenny had open sourced his 300+ podcast transcripts.

so last night, i built a skill that turns every Lenny's guest into your interviewer,
for product management interview prep

you can plug it in with any agent: Claude, ChatGPT, Hermes, Codex, etc.

https://i.redd.it/ok2ilpz4kjih1.gif

here's how it works:

1. pick a company you're interview for
2. pick the product interview round you want to prep
3. the skill then matches you with a guest who worked there.
   1. (shreyas doshi. nikita bier. brian chesky. 300+ guests.)
4. upload your resume. they drill your actual background.

then the interview. 6 phases:

• opening (2-3 min)
  • they introduce themselves and ask about you.
• experience deep-dive (8-12 min)
  • they pick 1-2 resume items and grill through their actual frameworks.
  • shreyas asks about your pre-mortems. nikita bier demands your retention curve.
• round-specific case (12-18 min)
  • situational. no theory questions.
• your questions (3-5 min)
  • ask them anything. in character.
• a raw gut reaction
  • one sentence, in character, on how the interview went
• structured feedback scorecard across 5 competencies:
  • product sense, metrics & data, execution, structured thinking, communication.
  • each scored 1-5. plus framework gaps, direct quotes from their episode, and an improvement plan.

it's set on hard mode. so the interview will push back and drill you more.

i have open-sourced the git repo. here ↗
try & break it.

Rish from Productminds

it took me three weeks to admit what happened. i knew. i just didn't want to accept that i'd been dumb enough to fall for it.

so, a company building in the crypto space reached out. stablecoins for cross border transfers, international payments, multi currency rails. well funded too, $19M raised. remote setup. as a PM this is the good stuff. real constraints, real users, real money moving across borders. things you want to work on to build your exp.

and so i prepped properly. read their docs. understood their flow. sender in one country, receiver in another, stablecoins as the settlement layer in between. mapped out the user journey end to end. tested their product. found few things i'd improve. wrote them down.

the call was on tuesday. 15 minutes blocked. i logged in 2 minutes early. waited. 3 minutes past, okay people run late sometimes. 5 minutes, still nobody.

checked the link, same room & empty. was almost about to drop off and drop the hr an email.

finally, at around 7mins he joins. camera off. audio only. didn't even apologise. just says "hi dutta, can you hear me?" lol, who addresses like this (this with no camera tho)

i asked how their day was going, small talk, trying to warm things up. and he tells me he's got calls back to back all day. 15 minute slots. one after another. i was like that's a lot man, how are you managing. he goes "yeah, just getting through them."

getting through them, haha. like he was clearing spam. a queue.the call barely lasted maybe 5 minutes. he asked me nothing. not about my work, not why i was interested, not a single question about my background. just explained the assignment, told me the deadline, and ended with "looking forward to seeing what you come up with." sure you are buddy.

the assignment lands. and here's where it gets interesting. the problem statement: digital remittance from the US to south asian markets is broken. confusing onboarding, opaque KYC, useless error messages, no whatsapp support. the solution they wanted designed: a fully conversational AI based payment flow on whatsapp and telegram. users chat with an AI agent and complete the entire transfer end to end. my ask was to create a full approach document detailing how to design and build this, including which AI models to use and how to architect the whole thing.

this is not a case study. this is not a skills test. this is a company asking candidates to design their core product strategy. and i sat there thinking wait. am i being interviewed or am i being used

almost didn't do it. red flags everywhere. but the problem space was genuinely interesting and ego is a hell of a drug:P. cleared saturday. researched conversational AI flows, KYC in messaging environments, remittance UX. built the approach document from scratch and even tried building a prototype to stand out. submitted sunday night. genuinely good output.

now what next? nothing. followed up once, twice, thrice withing a span of around 3 weeks, still got nothing.

someone had booked a queue of 15 min calls, handed out assignments like flyers, probably collected free product specs from a dozen candidates and never planned to respond. what is the purpose of all of this ?

hey everyone!

i was trying to build an automated content pipeline that gets better with every post using real analytics. stuck on the analytics part.

here's what I tried with hermes agent:

• browser automation for linkedin analytics dashboards. cloudflare captcha blocks everything. X too now.
• screencasting + vision extraction. breaks when ui changes, still needs manual recording.
• manual xls export pipeline. actually works but not fully automated. export weekly, ai reads and drafts next post.
• rss / search engine fallbacks. useless for your own post metrics.

the goal: analyze which posts performed, extract what worked, make the next one better automatically.

I remember seeing, a couple of months back, when they had recently launched openclaw, people had completely automated this.

constraint: linkedin has no public analytics api. x api requires oauth that most can't get. both platforms treat analytics as proprietary. have they tightened this more with AI agents coming in recently ?

what I have working as of now:

↳ weekly export workflow

• export linkedin analytics (.xls) to a shared folder
• hermes cron reads and ranks posts by impressions
• extracts winning format patterns (hook style, length, topic)
• next post drafts with those signals

↳ format pattern library

• read post titles from x/post-id urls even behind login
• build a local database of what performed
• reuse patterns, skip what flopped

any hermes users running this already? how are you pulling your own analytics?

specifically:

• linkedin company page latest performance access
  • linkedin export only gives you 2days ago data
• x tweet performance without sketchy setups
• browserbase or stealth that actually works
• decoupled cron jobs (analytics vs writing)

share some workarounds/workflows if someone has figured this out here.

been running hermes agent on a hostinger vps for a few days to start with as a beginner. want to know if i'm the only one going through this.

just setting it up was a maze. docker container, ssh tunnel from my mac to even open the dashboard, nginx inside the container so the kanban board would load properly. every time something restarts the tunnel breaks and i have to redo it. half the time the terminal interface throws errors because some module didn't install or the config has a blank field nobody told me about.

then this week the whole thing went into a loop. three tasks, ~288 worker runs in 2.5 hours. every run loads a bunch of context before it even starts doing anything useful. the workers were running out of api credits but exiting like everything was fine, so the system kept spawning new ones every 60 seconds thinking the last one just finished. i had a failure limit set to 2 and it did nothing because this specific kind of crash apparently doesn't count. burned through $5 in api credits while i was away from my laptop. could have been way worse if i hadn't checked in time.

few things i want to ask:

1. is anyone else running hermes on a vps instead of just on their own computer? i went the vps route so i could leave tasks running overnight, but the maintenance is wearing me down. those of you running it locally, do you just leave your laptop on all night?
2. i'm using openrouter so i can switch between models, currently using kimi. would it be smarter to just pay openai or anthropic directly instead? or stay on openrouter and just pick cheaper models? what's everyone else doing to keep costs down?
3. is this loop thing a new bug from a recent update or has it always been there? wondering if going back to an older version would help or if i need to fix the code myself.
4. any way to set a hard spending limit per task? like "stop everything if this one task burns more than X tokens, no matter what." couldn't find anything obvious in the settings.

hermes does some cool stuff when it works. but right now i don't trust it enough to leave it running for more than an hour without checking on it. would love to hear how others are handling this.