i'm a software engineer based in the philippines, driven by curiosity and whatever i find interesting. i learn fast with the caveat of goldfish memory (which i call my context lol) and i'm usually self-motivated that i forget to eat.
this is not like other portfolios. feel free to have a look around and explore what makes me, me.
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@schmayterling
open githubrecruiter?
(follow the red line) →the same circle, over and over.
for those who want something simpler
enter simple mode
i enjoy writing code.
if ai solves every problem,
what's left?892 commits. the personal AI agent i've been trying to build since 2023 is finally becoming something i'm proud of.
one question usually turns into three projects and too many open tabs.
typescript, python, rust, go, infrastructure, and agents.
in roughly five weeks
an earlier role handled 2,000+ requests a day at 99.3% uptime.
i update this board whenever my attention changes, so it never settles into a final form.
how WFDs work, when to write one, the states a document can be in, frontmatter format, and the markdown features available.
my desktop is scattered screenshots, dozens of windows, half-finished checklists, and constant switching.
whatever feels urgent or interesting gets the whole pile.
right now, only this website and my ai work count as current.
did i mention this board evolves over time? you might find new stuff here next time. suggestions? email me.
hey@ryanaque.com
i turned weeks of neuroscience papers into her memory system.
weave gives long-running agents memory, state tracking, and retrieval that can be inspected.
i watched a kdrama about a girl who forgets everything every morning and realized my AI agent has the same condition. so i built it a brain.
someone else is
on the other end.
i'm less interested in whether it's good.
ideally when something is coming up, whether it's work related or it's just a personal project of mine i usually let it run at the end because i need pressure to perform things.
diffusion models
i built an AI agent with persistent memory. now i need to figure out if it's remembering the truth or just what i wanted to hear.
AI makes me faster. It also might be making me dumber. I'm figuring out where the line is.
“signed the garden.”
— Donuti want to know if anyone's actually reading this. not to optimize anything, just to know.
atlas maps symbols, calls, tests, and history so developers and agents can ask structural questions about a repository.
2,239-trial benchmark across 8 OSS repos: Atlas beats a text-search baseline by +0.223 deterministic, +0.127 LLM-judge, at 42% fewer tokens.
orchestrator lets a local model read and control a live chromium page through the devtools protocol.
opening note
wfd / Feb 11, 2026 / 3 min
went with goatcounter. signed up, added the script tag to the root layout, done.
it checked every box. free hosted for personal sites with no event caps or tier limits, open source under EUPL, cookie-free so no consent banners, and the script is ~3.5kb which is negligible. the dashboard shows exactly what i wanted (page views, referrers, top pages, rough geography) and nothing i didn't.
the deciding factor over umami cloud was simplicity. umami's free tier caps at 10k events per month and the company makes money from paid plans so the free tier is a funnel that could change. goatcounter's hosted service is donation-supported with no usage limits mentioned. one fewer thing to think about.
setup took about two minutes. sign up, copy the script tag, add it to the Next.js root layout via next/script, deploy.
Original Comparison everything below is the original draft where i compared providers and worked through the decision.
i'd like to know if anyone's reading this. the answer is probably zero and that's fine, WFD 16 covers why i write regardless. i'd just like to know.
page views, referrers, top pages, rough geography. which WFDs get read, where traffic comes from if it comes from anywhere. nothing else.
| provider | why it's out |
|---|---|
| vercel analytics | proprietary, vendor-locked, the data belongs to vercel |
| fathom | proprietary, $15/mo minimum |
| simple analytics | proprietary, €9/mo minimum |
| posthog | open source, ~70kb script, full product analytics suite with session replays and feature flags. forklift for a pencil. |
| matomo | open source, uses cookies by default, requires a consent banner unless you disable everything useful. at that point you've built a worse goatcounter. |
| google analytics | no. |
| provider | license | free hosted? | self-hosted? | script size | github stars |
|---|---|---|---|---|---|
| goatcounter | EUPL | yes (personal use) | yes | ~3.5kb | 5.5k |
| umami | MIT | yes (10k events/mo) | yes | ~2kb | 35.2k |
| plausible | AGPL | no | yes | <1kb | 24.2k |
| shynet | Apache-2.0 | no | yes | <1kb | 3.1k |
| ackee | MIT | no | yes | ~1kb | 4.3k |
everything in this table is cookie-free and privacy-respecting by design. that's the baseline, not a feature.
goatcounter is made by Martin Tournoij and offered as a free hosted service for personal and small sites. no account limits, no event caps, just "reasonable public usage." donation-supported via GitHub Sponsors.
the script is ~3.5kb with a no-JavaScript tracking pixel fallback and log file import if you want zero client-side code. the dashboard covers page views, referrers, browsers, screen sizes, locations. written in Go, self-hostable with SQLite or PostgreSQL.
it is a one-person project. if Martin stops maintaining it the hosted service could disappear, and the code is open source so worst case i run it myself or migrate.
umami has the most GitHub stars of any open source analytics tool (35.2k). MIT licensed. the cloud free tier gives 10k events per month.
built with Next.js, PostgreSQL-backed, ~2kb tracking script. the free tier is relatively new and the company makes money from paid plans so it's a funnel. 10k events/month is generous now and could shrink later.
plausible has the smallest tracking script at under 1kb. AGPL licensed, EU-based, funded entirely by subscribers. 24.2k stars. everyone recommends it.
there's no free hosted tier. $9/mo minimum. self-hosting the Community Edition is free and requires ClickHouse and PostgreSQL, making it the heaviest self-hosted option. premium features are stripped, releases come twice per year, no official support. a lot of infrastructure for page view counts.
shynet works without any JavaScript at all using a 1x1 tracking pixel. self-hosted only, built with Django, under 1kb when the script is used. tracks page load times, bounce rates, session durations, referrers, device info. respects Do Not Track headers by default.
the last release was July 2023. 51 open issues, 9 open PRs. Django means another stack on the homelab.
ackee has probably the prettiest dashboard of the bunch. Node.js, GraphQL API, MIT licensed, multi-step anonymization. self-hosted only, ~1kb tracking script.
less actively maintained than goatcounter or umami. GraphQL for personal analytics feels like overkill.
goatcounter. sign up, add a script tag, done. nothing to maintain, no event caps to worry about. the ~3.5kb script is the biggest here and still negligible.
umami cloud is the runner-up with a more polished dashboard. goatcounter not having tier limits makes it simpler.
if goatcounter disappears i'll self-host umami. i already know the stack.
haven't set anything up yet. writing this down to think through it first.
arguments against:
arguments for:
probably not. there's something satisfying about a page view counter that isn't zero, even if it's just me checking whether the deployment worked. and if it is zero, that's fine too.