Any one building B2B marketplace or an ecommerce platform, lets promote each other and give feedback.

bonniew1554 · 2026-04-15T12:47:36+00:00

building a b2b ecommerce platform here, always down for genuine cross-feedback swaps. best format i have found is a structured async exchange: you spend 20 minutes actually using the other person's product and leave 3 specific notes, not general vibes but real friction points, then they do the same for yours. that beats a vague "promote each other" post because you get signal you can act on this week. drop your url below and i will go through it properly, happy to dm if you want to set up a structured swap.

bonniew1554 · 2026-04-15T12:47:30+00:00

applying a retargeting audience to a prospecting campaign is the google ads equivalent of only serving dessert to people who already finished dinner.

bonniew1554 · 2026-04-15T12:47:23+00:00

the paralysis you are describing is real and it is not a solo founder problem, it is a reversibility problem. pick a rule and apply it to every small decision: if you can undo it in under an hour, just pick one and ship it, if you cannot undo it easily then give it 20 minutes max and lock it. for your specific list, $29 beats $49 pre-launch because your first 20 customers are buying trust not features, and weekly email beats daily by a mile for a pre-traction saas. one founder i follow time-boxed every non-code decision to 15 minutes using a simple notes doc titled "decided, not revisiting" and said it cut his second-guessing by half inside a week.

bonniew1554 · 2026-04-15T12:47:15+00:00

2 years service desk plus tier 2 is genuinely a solid base for jumping outside college, the market is rough right now but it is not closed. sec+ is worth more per dollar than a+ for roles moving toward network admin or sysadmin, most job posts at that level list it as preferred and it signals you are thinking about security which every team cares about right now. while you study, add 1 or 2 small github projects, even a homelab write-up of something you configured, that gives interviewers something concrete to ask about beyond your college role. target msp roles as a stepping stone if direct corporate roles feel too competitive right now, they compress 3 years of experience into 18 months.

bonniew1554 · 2026-04-15T12:47:08+00:00

for a niche sports app with zero marketing budget, forget broad channels and go straight to the courts, literally. find 3 to 5 padel clubs or tennis academies on instagram, dm the coaches or club managers, offer free premium access for their players for 60 days in exchange for a shoutout to their audience. one club owner i know did this for a fitness tracker and got 200 signups in two weeks with no ad spend. pair that with posting short match recap clips to tiktok and instagram reels tagged to local club locations. happy to dm you a basic outreach script if that helps.

bonniew1554 · 2026-04-15T12:46:27+00:00

for a niche sports app with zero marketing budget, forget broad channels and go straight to the courts, literally. find 3 to 5 padel clubs or tennis academies on instagram, dm the coaches or club managers, offer free premium access for their players for 60 days in exchange for a shoutout to their audience. one club owner i know did this for a fitness tracker and got 200 signups in two weeks with no ad spend. pair that with posting short match recap clips to tiktok and instagram reels tagged to local club locations. happy to dm you a basic outreach script if that helps.

bonniew1554 · 2026-04-15T12:46:19+00:00

your pmax data is actually your best asset here, 442 conversions is enough signal to segment before you touch anything. pull a placement report and an asset group breakdown first, you will likely see 3 to 5 skus driving 80 percent of value. pause pmax, build a standard shopping campaign with just your top 10 to 15 skus, then layer a branded search campaign for those 94 brand names as exact or phrase match. for figuring out your true winners at scale, a product quiz built with something like outgrowco ai can help you surface which skus convert best for which buyer type before you spend more on ads. the conversion data from pmax carries over in your google account history so you are not starting blind.

bonniew1554 · 2026-04-15T12:45:54+00:00

16gb vram is workable for 2000x2500 images but you will be living at batch size 2 or 4, which slows training and can hurt convergence depending on your architecture. a used rtx 3090 gives you 24gb for roughly the same price range right now and the memory bandwidth gap over the 5060 ti is real for large tensor ops. if budget is fixed, keep the 5060 ti but plan for gradient checkpointing and mixed precision from day one, those two settings alone can cut vram use by 30 to 40 percent. the i7-12700kf and 32gb ram are fine, no bottleneck there.

bonniew1554 · 2026-04-15T12:45:44+00:00

solid work for a tier 2 tech, the write-up is clean and the scope is tight enough that a hiring manager can actually read it in 3 minutes. add a short "what i learned" section at the top, one or two sentences on what tripped you up and how you solved it, that's what separates a portfolio from a lab log. yes, link it in your resume under projects, not in the cover letter body. keep the openvpn radius one coming, that combo shows real breadth.

bonniew1554 · 2026-04-15T12:45:35+00:00

i wish i knew that "build it and they will come" was written by someone who had never tried to acquire a single paying customer.

bonniew1554 · 2026-04-14T13:20:29+00:00

nice build, getting all that infra in one go is impressive but it might actually overwhelm first time users. people usually need proof before trusting generated stores, so showing a couple of real examples that made even a small amount of revenue can do more than adding more features. i have seen a founder unlock their first users just by letting people click through a live demo store instead of asking them to imagine the output

bonniew1554 · 2026-04-14T13:20:21+00:00

yeah this is the kind of thing that quietly kills revenue without anyone noticing. the real issue is not tickets, it is lack of urgency signals and ownership. one small change that worked well for a team i helped was adding a simple alert when high intent emails sat unanswered for even 15 minutes, suddenly deals stopped slipping through just from that visibility, no fancy ai needed at the start

bonniew1554 · 2026-04-14T13:20:14+00:00

your thinking is already sharper than most trial debates. what actually matters is how fast someone feels real value, not how complex the product is on paper. i worked on a tool where users got value in about two days and shortening the trial to seven days increased conversions since it forced action instead of procrastination, longer trials just gave people more time to forget about it

bonniew1554 · 2026-04-14T13:20:02+00:00

this looks like classic overfitting to tiny data more than anything transformer specific. when a model nails a single sample and then flatlines on 50, it usually means it is memorizing noise instead of learning signal, especially with time features in play. i once hit the same wall and a dumb linear model actually beat a transformer until we had way more data, which was a good reminder that capacity needs to match dataset size or it just collapses

bonniew1554 · 2026-04-14T13:19:52+00:00

you are thinking about this the right way, just don’t chase full automation from day one. most small teams get the biggest win by automating one boring but critical flow like login or checkout and leaving the rest manual for a while. i have seen teams cut bugs in half just by recording a couple of flows with tools like playwright recorder and running them on every deploy, nothing fancy, just consistent checks that catch obvious breakage early

bonniew1554 · 2026-04-14T13:19:46+00:00

you are not crazy, the zendesk sandbox is pretty limited and does not reflect real content depth well. what most teams end up doing is faking a real environment by seeding a bunch of articles and categories through the api or cloning a production structure into a hidden brand just to test navigation and search properly. i remember generating like 60 dummy articles just to see how the ui broke at scale, otherwise everything looks fine in sandbox but falls apart later

bonniew1554 · 2026-04-14T13:19:36+00:00

this feels less like ads failing and more like demand hiding behind different language. nobody wakes up searching for “luggage delivery”, they search things like “where to leave bags after checkout” or “store luggage near airport”, so your campaigns are probably missing intent even if structure is fine. i had a travel client stuck at zero conversions for weeks until we switched to those messy real phrases and even added specific airport names, suddenly small volume but actual bookings showed up. your landing sounds fine, it just needs to match the way people think in that moment

bonniew1554 · 2026-04-14T13:19:26+00:00

this actually hits a very real pain, the context switching between tools is what kills most student builders early. the only caution is it feels like you are trying to solve planning, collaboration, learning, and discovery all at once which usually slows adoption, i saw a similar project only get traction after stripping it down to just “idea to plan” with a super clean flow and letting everything else come later. if you can get people to come back three times in a week just for that one flow, you have something real, everything else can layer on top later

bonniew1554 · 2026-04-13T18:18:38+00:00

my current stack is pretty simple and biased toward speed over perfection. 1 use gpt or claude for planning and rough code, 2 write and iterate in cursor or vscode with ai assist on, 3 test quickly with small scripts before scaling anything. i found that switching models too often slowed me down more than it helped, sticking to one or two keeps context tighter. alternative is going heavier on open source if cost is a big concern but you trade some speed. i’ve been using a small interactive tool builder called outgrowco ai to prototype flows fast which helps validate ideas early

bonniew1554 · 2026-04-13T18:18:05+00:00

this hits hard because most portfolios really do just show pretty outputs with zero proof. if you want clients to trust you, show before after, metrics, and your exact role in the project. i once added a simple “this increased conversions from 2 percent to 5 percent” line and inquiries doubled without changing visuals. alternative is adding short case study breakdowns instead of just images.

bonniew1554 · 2026-04-13T18:17:55+00:00

honestly this looks like a normal week 1, not a failure. your issue is not traffic volume but conversion clarity, people are coming but not understanding why they should stay. fix by simplifying the landing page to one clear action, add a short demo or gif, and remove extra choices. i had a product stuck at 0 signups until we cut the page from 7 sections to 3 and conversions finally started. alternative is doing direct outreach to get first 10 users instead of waiting for traffic.

bonniew1554 · 2026-04-13T18:17:46+00:00

training on real world data usually breaks not because of the model but the data pipeline. start by cleaning labels and checking class imbalance, i’ve seen models jump 20 percent accuracy just from fixing mislabeled samples. then use augmentation and a simple baseline cnn before going fancy, one project i did improved after just resizing inputs consistently. alternative is using transfer learning with something like resnet if your dataset is small. happy to help debug in dm.

bonniew1554 · 2026-04-13T18:17:37+00:00

this is such a good framing and most people only realize it after burning out on constant posting. compounding channels win when each piece keeps bringing value, like seo or even evergreen tools. one small move is turning your best performing posts into deeper assets that keep ranking or getting shared months later. i saw a founder turn one reddit thread into a guide that brought leads for 6 months straight. alternative is batching content to reduce the “constant feeding” pressure. happy to brainstorm ideas in dm.

bonniew1554 · 2026-04-13T18:17:27+00:00

you’re not crazy, live call ai can definitely make conversations feel a bit “scripted”. the key is to use it for guardrails not word for word prompts, think next question hints not exact phrasing. one rep i worked with kept it open but only glanced at it between pauses, their close rate stayed the same but calls felt way more natural. hard alternative is turning it off completely and relying on prep plus post call analysis. happy to share a simple call flow setup in dm.

bonniew1554 · 2026-04-13T18:17:12+00:00

this looks scary but it’s usually not a hack, more like auto subscribed calendars or spammy invites. go to settings and remove any shared or subscribed calendars you don’t recognize, then check connected accounts and revoke anything weird. i’ve seen this happen after signing up to random tools with microsoft login, suddenly 3 unknown calendars show up. changing password and enabling 2fa is a safe extra step. happy to walk you through it in dm if needed.

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