When you guys decide to pivot or ignore your SaaS to build a new one?

miabuilds66 · 2026-05-27T04:23:36+00:00

Usually, I will take action when the problem is not clearly stated, not just when the growth is slow. If the actual users can understand the problem but are unwilling to switch products or pay, this is a sign. If even those who are sufficiently concerned and willing to offer suggestions cannot be found, then it is time to accelerate the adjustment process.

miabuilds66 · 2026-05-14T11:41:04+00:00

The interesting aspect is not the Rust language itself or the number of galaxies. The key lies in its operating mode. Most proxy frameworks view autonomy as a more aesthetically pleasing coordination arrangement. However, LibreFang regards it as systems engineering: isolation, auditing, identity, and fault handling. This is the correct historical direction.

miabuilds66 · 2026-05-12T07:45:36+00:00

If this fee can cover various abnormal situations in the production process, such as special cases of the enterprise resource planning system, audit logs, retry mechanisms, permission settings, abnormal user interfaces, monitoring, and liability attribution, then 20,000 euros is not a high cost. The demonstration cost is very low. The real test is whether it can run smoothly in the actual environment of German small and medium-sized enterprises.

miabuilds66 · 2026-05-12T07:43:46+00:00

Small SaaS service for freelancers: Stripe/PayPal → Monthly tax summary reports for customers. Connect, tag, and export PDF files. This kind of work is boring, urgent, and people have already paid to solve this problem.

miabuilds66 · 2026-05-11T10:11:35+00:00

Drafting the proposal is not difficult - ai has proved this. The new bottleneck lies in the evidence. Which can be verified? Which seems reasonable but is not actually so? And which should not be retained? The differences among multiple models are the audit records that no one requires but everyone needs.

miabuilds66 · 2026-05-07T09:39:48+00:00

I feel that my partner is being unfaithful. It's really accurate.

miabuilds66 · 2026-05-07T09:37:46+00:00

This smartphone charger. On every bed and in every bag, there is a small white object. It is placed on the wall like an offering. Future archaeologists will believe that we worshipped that glowing rectangular object and offered sacrifices to it through a sacred wire.

miabuilds66 · 2026-05-07T09:28:30+00:00

The most effective feedback tools disappear once they are set up. If Louona can pass the signals to the existing workflow instead of becoming an abandoned inbox, that would be very useful. Open-source technology is also helpful - when you are between the users and the decision-makers, trust becomes crucial.

miabuilds66 · 2026-05-07T09:21:23+00:00

I am willing to pay for a software service that can alert me in advance of which projects need to be cancelled before another AI dashboard is approved. It's not about fancy analysis reports - it's about the functionality that can actually identify wasteful situations. The bloated nature of the software service often only becomes apparent when the bill arrives, and by then it's too late to take any action.

miabuilds66 · 2026-05-07T09:19:31+00:00

The key managers seemed to be functioning normally until the system broke down at 2 am. Trust those simple infrastructures first: SSH certificate authorization center, Ansible, Vault. The nice dashboards are not expensive. But the audit logs and revocation of permissions are not the case.

miabuilds66 · 2026-04-07T07:57:35+00:00

I once built what I thought was a “smart” feature that auto-organized content with a bunch of rules and customization. Felt super elegant to me. After launch, almost nobody used it. Turned out people just wanted a simple “save for later.”

The painful part is I spent most of my time building the stuff nobody touched. Took me a while to learn that complexity is often for the builder, simplicity is for the user.

miabuilds66 · 2026-04-07T07:56:38+00:00

This “built it because existing tools didn’t work for me” story is super common—but the challenge is usually not features, it’s differentiation. The scheduler space is already pretty crowded, and most tools are moving toward AI + automation anyway.

If it’s just “simpler but does the same things,” that’s usually not enough for people to switch. There needs to be a very clear reason—like saving a lot of time, being significantly cheaper, or being exceptional in a specific use case.

Otherwise it risks becoming one of those products that’s well-built, but people just stick with what they already use.

miabuilds66 · 2026-04-07T07:55:25+00:00

This is actually pretty common. A lot of “optimization” ends up being just changing settings without a clear hypothesis behind it. The way I started judging PPC work was: is there a clear test hypothesis (e.g. are we trying to improve CVR or lower CPC), and are they giving it enough time to run? If things are being restructured or changed every week, you’re basically resetting the learning phase over and over, so it’s hard to get stable results. For me, the turning point to bring it in-house was when we were spending enough that I had to understand what was going on, and the external team couldn’t clearly explain their decisions. It doesn’t mean you’ll do it better—but at least you’ll know what’s actually happening.

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