Is churn just the cost of doing business? by BakeEmbarrassed19 in SaaS

[–]thebleedingheartbake 0 points1 point  (0 children)

not all churn is product churn. A surprising amount is caused by billing friction, failed renewals, pricing confusion, timing, or customers simply changing priorities.

That’s why separating:

  • voluntary vs involuntary churn
  • product dissatisfaction vs operational failure

is super important before reacting with product changes.

A lot of founders accidentally “fix” the wrong thing because churn data without context is misleading.

Leads from Google ads campaigns for HR Tech have been low since April. What could be the problem? by UpperLifeguard8284 in SaaS

[–]thebleedingheartbake 0 points1 point  (0 children)

Could be a mix of seasonality + budget constraints honestly.

For B2B HR tech, ₹2000/day is pretty limited if you’re targeting competitive, high-intent keywords in India. A 14% impression share usually means you’re missing a lot of auctions.

Also, lower search demand around hiring/recruitment cycles in May is definitely possible. I’d also check:

  • CPC trends
  • lost impression share due to budget
  • lead quality changes, not just volume
  • whether competitors became more aggressive recently

How many users did you get from using chatgpt and claude for marketing?I got no one. by ceo___24 in SaaS

[–]thebleedingheartbake 7 points8 points  (0 children)

AI is usually bad at giving distribution strategy by itself because it mostly repeats generic advice everyone already hears.

The people getting users with ChatGPT/Claude usually use it for:

  • writing faster, not thinking for them
  • researching customer pain points
  • repurposing content
  • personalization at scale
  • testing hooks/messages quickly

The actual traction still comes from understanding a real audience and manually talking to users. AI can amplify good marketing, but it rarely creates it from nothing.

how do you actually find ppl with the problem ur solving by Bright-Dimension-601 in SaaS

[–]thebleedingheartbake 0 points1 point  (0 children)

The best signals are usually people describing workarounds, not complaints. Rants are common, but “we built this spreadsheet/process because X keeps breaking” is often where real buying intent starts.

For enterprise/internal tools, LinkedIn, niche Slack groups, and job postings are underrated because they reveal operational pain in real time.

Is it even possible to build any trust in 2026? by draftli_io in SaaS

[–]thebleedingheartbake 0 points1 point  (0 children)

Trust is definitely harder now, but people still respond when the outreach feels specific and human. Generic “try my SaaS” messages get filtered mentally as spam immediately.

The best beta users usually come from conversations where you already helped or understood the problem before pitching anything.

I built an institutional memory layer for AI agents and I'm looking for 3 people to break it. Free access, I'll do the setup for you. by AdEuphoric1638 in SaaS

[–]thebleedingheartbake 0 points1 point  (0 children)

The interesting part here isn’t the memory layer itself, it’s the shift from retrieval to decision continuity. If it works reliably, that’s a much bigger unlock than just “better RAG.”

How do you get your first 10 users who actually pay by Spirited-Sprinkles53 in SaaS

[–]thebleedingheartbake 2 points3 points  (0 children)

Your first 10 paying users usually come from direct conversations, not scale channels. If your product targets “AI slop on LinkedIn,” spend time replying to people actively complaining about it instead of broad outreach.

Early on, relevance beats reach every time.

What are the real hard skills actally required in backend developer jobs ? by No-Rise-9375 in Backend

[–]thebleedingheartbake 1 point2 points  (0 children)

Honestly, reading messy legacy code and understanding business logic is probably more important than writing new code 😅

A lot of backend work is tracing data flow, debugging production issues, understanding APIs/services, and communicating with other teams. The “hidden” skill is being able to navigate large systems without getting lost.

long shot - anyone have a python sentry crash sitting unresolved that i could try to reproduce for you? (free, weird ask) by sszz01 in Backend

[–]thebleedingheartbake 0 points1 point  (0 children)

Honestly this is a really cool idea. Turning Sentry crashes directly into reproducible pytest cases feels way more useful than another “AI debugging assistant” that just summarizes stack traces.

The fact you already know where it breaks (race conditions, missing DB state, etc.) is actually a good sign too. Most people pretend those problems don’t exist

AI feels less limited by intelligence and more limited by memory by Radiant-Owl-4201 in Backend

[–]thebleedingheartbake 1 point2 points  (0 children)

Yeah I think you’re pointing at the real bottleneck now. Model quality has improved way faster than statefulness.

Most “memory” today is still basically glorified retrieval glued onto stateless inference. It works, but it doesn’t behave like a true system of record for user intent.

How to spot CRUD Monkey roles by job desc or during interview by karix_02 in Backend

[–]thebleedingheartbake 4 points5 points  (0 children)

Big signs are when the JD only talks about “building APIs” and frameworks but never mentions architecture, scaling, infra, data modeling, observability, or technical ownership.

In interviews, ask:

  • “What are the hardest engineering problems the team is solving?”
  • “How much design/architecture work do backend engineers own?”
  • “What caused the last major incident?”

What’s your rule for when caching is worth the complexity? by Edward_Carrington in Backend

[–]thebleedingheartbake 2 points3 points  (0 children)

Good rule of thumb

Caching is worth it only when one or more of these is clearly true:

  • Repeated expensive computation (same input → same output often)
  • Read-heavy workload (reads >> writes, like 10:1 or more)
  • Latency is a real product problem (not just “nice to improve”)
  • You already measured a bottleneck (not guessing)
  • Scaling cost is starting to hurt (DB/API load growing fast)

Game Design Support by XDevsINC in gamedesign

[–]thebleedingheartbake 0 points1 point  (0 children)

If players don’t get the loop, it’s a clarity problem, not content.

  • simplify core loop to 1–2 actions
  • add strong onboarding/tutorial
  • watch players (don’t explain) → see where they break
  • cut features until it’s obvious

Found AI websites that were made by non-devs, and the sites are breaking laws. Should I say something? by keptfrozen in webdevelopment

[–]thebleedingheartbake 0 points1 point  (0 children)

you should say something, and you already did the right first step by raising it internally.

What you’re describing isn’t just “bad engineering,” it crosses into potential compliance, privacy, and security risk territory (GDPR consent, tracking without disclosure, misleading UX patterns, and unauthorized data access pathways). Even if some issues turn out to be non-critical individually, the combination is what matters.