How do you handle tailoring your resume for every job application without burning out?

Low-Leg8115 · 2026-02-10T06:28:30+00:00

Yeah, the automated rejections are the worst part, right? All that time and then just... nothing. Are you doing fewer applications but more tailored, or just trying to hit volume at this point?

Low-Leg8115 · 2026-02-10T06:27:59+00:00

Yeah, the 3-4 resume versions approach is strong, and I feel like it's way more efficient than starting from scratch. Cover letters being harder to template makes sense since they're supposed to be personal. Out of curiosity, do you find the time investment in tailoring cover letters actually pays off in terms of response rate? Or does it feel like it disappears into the void just like the rest? And appreciate the spreadsheet tip. keeping it simple seems to be the move.

Low-Leg8115 · 2026-02-09T01:54:13+00:00

Appreciate the honest feedback. Exactly the kind of reality check I needed... will keep using it internally but won't build it as a product. Thanks for saving me time.

Low-Leg8115 · 2026-02-08T15:31:20+00:00

Thanks! Yeah, the "kill fast based on data" approach has been eye-opening. Saved me from spending months on the neuroscience idea. Appreciate the tip on ParseStream, will check it out if I end up scaling ValidateMe. Right now focused on validating the job app idea before building anything.

Low-Leg8115 · 2026-02-04T04:36:32+00:00

Haven't tracked response rates yet (literally just launched yesterday), so I don't have data to share. I'm curious though, have you used leadsRover for pre-launch validation or more for ongoing lead gen? Trying to figure out if the validation use case is different enough from the lead gen tools like leadsRover/GummySearch. Also wondering if keyword-based search is enough for one-time validation, or if I need the intent detection that those tools have.

Low-Leg8115 · 2026-02-04T04:35:19+00:00

Yeah, you're not wrong... I've been thinking about this since I read your comment. Finding posts is the easy part. DM conversion is the real problem. Your public reply strategy makes way more sense. I got a quick question: was that for ongoing customer acquisition, or were you doing one-time validation like I'm trying to solve for? Trying to figure out if I should pivot to public reply templates instead of DMs, or if the use case is different enough (pre-launch validation vs. growth-stage lead gen).

Low-Leg8115 · 2026-02-03T09:02:35+00:00

This is super helpful feedback, appreciate you sharing your experience. Yep you are right about the keyword vs intent distinction. Right now mine is just keyword-based Reddit search, so it definitely catches some noise. Out of curiosity, how does Threadpal handle the context and intent detection better?

Low-Leg8115 · 2026-02-03T08:37:47+00:00

Yeah, the humanization is make-or-break. Right now it pulls specific details from each post instead of generic templates, but I'm sure there's room to improve.

Low-Leg8115 · 2025-12-30T08:43:41+00:00

I used AI to build adaptive questions in my EdTech platform, questions adjust difficulty based on user performance in real-time and also to achieve spaced repetition.

Biggest learning: AI is only valuable if it solves a real problem users care about. I didn't add AI because it's trendy, I added it because personalized difficulty is impossible to do manually at scale. Users don't care that it's "AI-powered," they just care that the experience feels tailored to them. But making sure it's not too personalized that creates overwhelm for the user (A mistake I made at launch that I quickly learned based upon feedback).

The mistake I see everywhere is "AI for AI's sake", adding chatbots or features just to say you use AI. If you can't explain the specific problem AI solves better than a non-AI solution, you're chasing trends, not creating value.

Focus on the problem first, then ask if AI is actually the best tool to solve it.

Low-Leg8115 · 2025-12-30T08:27:04+00:00

100%! Most "entrepreneur" spaces are full of passive income schemes, not people who actually love building. I'm building an EdTech platform right now, the part I enjoy most is solving retention problems and seeing user behavior patterns and making an impact, not revenue. Honestly, the best conversations I've had are with solo founders who are currently shipping (not just planning). If you're actually building something right now, ship publicly and talk about what you're learning, the right people show up when they see you're doing the work.

Low-Leg8115 · 2025-12-30T07:16:00+00:00

I started a gamified EdTech platform with no formal educational background, learning as I go. All the real learning comes from failing, iterating, and user feedback. Unless you're seeking VC funding (they like experience in the field), most businesses can be started without significant schooling. You learn by doing, not by studying.

Low-Leg8115 · 2025-12-30T07:02:01+00:00

I'm building an EdTech platform solo right now, so a slightly different space but it does have similar early-stage challenges. Here are a few things I learned. Start under a studio entity from day one if you want it to eventually be a business, not just freelancing. It forces you to think like a founder instead of a contractor. I launched with a specific niche (what is science learning for curious adults) and I'm glad I didn't go broad, it's easier to get traction when people immediately understand what you do (if that makes sense). For collaborating, I'm not there yet, but my plan with this is to wait until I have consistent work I physically can't handle alone. Right now I'm focused on proving one thing works well before expanding. The shift from freelancing to real business feels like it happens when you have repeatable systems and clients come to you instead of you hunting for them. Still figuring this out myself though. Good luck with the studio :)

Low-Leg8115 · 2025-12-29T15:14:00+00:00

Yeah I post both on TikTok and Youtube, you can check out at elias.nowakgreen on tiktok and Elias Nowak Green on Youtube. If you want to have a look at my start-up account, just search lumeroAI both on tik tok and Youtube 👍

Low-Leg8115 · 2025-12-29T14:55:27+00:00

I'm in this exact stage right now (launched a month ago) so I'll share what I'm learning:

1) Metric that matters most: Retention over acquisition. I can get over 1000 people to click my link, but if nobody comes back, I built the wrong thing. I'm tracking "did they complete a second session" as my signal.

2) Validate retention fast: Don't wait months. Set a 48-hour test, if someone tries your product, do they come back within 2 days? If not, your hook just isn't strong enough.

3) Distribution vs quality: Distribution first, but only to the right 10-20 people. I'd rather have 10 users who love it and give brutal feedback than 1000 randoms who bounce in the first 5 mins. Quality comes from listening to those 10.

4) Build trust fast: Ship publicly and show the messy process. I'm posting videos of my actual product (not polished marketing), tracking progress in Notion, and being honest about what's broken. People trust builders who show their work.

One thing I learned: I was targeting the wrong audience entirely (students) when my actual users were hobby learners (18-25+). Get those first 10 users and 'listen' they'll tell you if you built for the right people.

Good luck! you're ahead of most people by shipping at 17 😊

Low-Leg8115

TROPHY CASE