tl;dr

• install via reManager.
• set up your sync server (e.g. NextCloud).
• lasso handwriting in any document, pick the checkmark, fix the transcription if it didn't transcribe right.
• now you have a to-do created in your sync server, and can review and check off your tasks in the reTaskable UI.
• open a task item and click the button to return to the note the task was created from.
• no hosted service, no pairing code, fully open-source software.

Background

when I got my rM2 years ago I was very excited about the possibilities I thought it represented. finally, I thought, the ability to work with documents as if they were paper and add all of the power of digital representation to my workflows! the reality took a little while to actually get there -- really, nobody started really taking advantage of what was possible with handwriting recognition converting notes to text until Boox and Supernote at least 3 years after the release of the rM2. the anemic SoCs e-ink devices have because the screens are so expensive have been holding them back for a long time and limiting the vision of what their software is capable of.

but especially in the last year or so with a few things happening at once -- the rise of LLM-assisted programming, better and faster devices, more mass adoption -- that's been starting to change, and today handwriting and e-ink based productivity is a really exciting and rapidly evolving product space.

one of the things that that I find really useful is connecting my notes to a structured to-do list that can have due dates, notifications, etc. so I can nail down action items from meetings and remind myself "this is how you got here and why you need to do X." it's actually kind of surprising how rare a feature this was until recently -- Supernote was the only one that had it, and even their implementation had no connection to anything outside their own ecosystem. (it was always very funny to me how reMarkable's answer to this was "here's a to-do list template! see! checkboxes! :D" which like... my dudes. have you met anyone with ADHD and executive dysfunction? do you really think we're going to remember to come back to that note?")

so now that technology has made it much easier to build things, I went ahead and did it. this is all written in Rust using Claude Code and Codex with lots of manual testing from yours truly.

A Humble Request

I really have kind of a limited amount of stuff to test with -- just my beloved Move, my NextCloud server, and my UltraBridge universal sync server -- so I could really use help testing and validating on more devices and whatever CalDAV server implementations you have available to use. please feel free to ask for help here or by submitting issues on the GitHub repo listed below.

A Note on Software Developed Using LLMs

Claude, GPT, etc. were all trained on massive amounts of open-source software which is why they're as good as they are. as a result I find it extremely distasteful and hubristic to attempt to charge for software developed with LLMs. both because of this and simply because I am a strong believer in the open source ethos, everything I build with LLMs will always be open-source software.

Source Code: It's Not Just for Breakfast Anymore

Bone Apple Tea™.

Future Work

there are some annoying things you have to get around to make this work with iCloud Reminders, but I know it's possible, and this will be coming in the next version of the software, so stay tuned.

^(WEIRD DISCLAIMER:) ^(none of this was written by an LLM until you get to the Github repo/site, which was obviously assembled by your friend and mine, Ser Claudric. so if this reads like an ADHD-ass brain wrote it, that's because -- wait for it -- it did. very strange doing a reverse "no really, I'm human,) ^(sorry") ^(disclaimer in a post like this, but it's mid-2026 so here we are.)

Requirements

for a while now I've suspected that for $2Kish in cards and $1Kish in rest-of-computer (unless you already have a machine to use) this is probably the best bang for buck you're going to get for code generation in this market and this particular inference landscape, where at "I have some small number of thousands of dollars to spend" level budgets you're trying to run the thing that is probably state of the art and will be for a while, Qwen3.6-27B. so if you're optimizing for that model (again, for code generation), you're looking at a few factors:

• as close to maximum context (256Kt native) as possible without degradation, which means:
• to be safe, running at Q8 (do tests say various flavors of Q6 and maybe even Q5_K_XL are basically the same? yeah. do I trust them? not particularly, not yet.
• with FP16 kv (do tests say Q8 kv is basically the same? yeah. do I trust them? not particularly, not yet.)
• and with MTP (which really shines for codegen in particular)
• for single-stream, single-user use, batch size = 1

this should give you nice, fast results with high accuracy and hopefully a minimum of toolcalling fuckups and endless thinking chains. **(I could really use some help w/**r/t figuring out what harness and sets of plugins or whatever gets you there, btw.) I do HPC hardware and architecture for a living, so to me, the hardware puzzle was, if not the easy part, at least the easier part.

(Possible) Solution

4 5060Tis meets the above requirements with the following characteristics:

• Blackwell precision levels if you decide for whatever reason you DO want to do multi-stream/multi-batch things and want to go down to some flavor of Q4
• idle power consumption of around 14-16W in total
• concomitantly little heat
• buildable piece by piece with the exception of going from 2 cards to 4 cards, a single $1K step (plus bifurcation hardware, probably) is a little rough no matter which way you slice it)

Build Details

this benchmark run was conducted on a Vast AI instance! I only own half the equation here -- two 5060Tis running on an X570 board, but I will be expanding it soon enough.

that said, one thing you do need to do should you choose to build something like this is have PCI interconnect be nice and even. if you're building fresh, either an X570 or X870E (if you want to go whole-hog PCIe 5.0 for the minor latency drop) board with two physical x16 slots that can each be bifurcated is probably the way to go. the one I'm thinking of with PCIe 5.0 is the ASRock TaiChi Lite: https://www.amazon.com/dp/B0DFNPK2MX when you put a card into both x16 slots they auto-negotiate down to x8 each, which is still fine because you end up after bifurcation with x4 to each card, which gets you 16GB/s bidirectional per card. that is MORE than enough. even with an X570 running the slots at 4.0 instead that's still 8GB/s bidirectional and the inter-card traffic never rises that high during sustained inference.

Alternatives

other hardware possibilities I considered:

• pair of 3090s: gets you 48GB VRAM, way better membw and more CUDA cores, but for around $400 more, with no Blackwell, using much more power at idle, with cards that have been beaten to shit by crypto miners, and you can't quite fit the same quants with the same performance. you either sacrifice MTP or FP16 kv or running the model itself at Q8_0. turns out to only barely outperform the quad 5060Tis anyway
• pair of 20GB modded 3080s: same pros and cons, down to 40GB, but around $800-900 for a pair of cards from AliBaba which is admittedly a very good deal
• STXH at 128GB: good for what it is, Bosgame M5 is apparently down to $2800 these days, but is a performance dog with dense models like this one
• DGX Spark/GB10: $5K, great at prefill, trash at decode for dense models like STXH, lol, no
• M5 Max Macs: see above re: cost at a minimum of $6699 (although that's at least 128GB with actually reasonable prefill compared to older Macs and pretty good tg as well)

if I overlooked more options, please lemme know.

upshot: https://github.com/jdkruzr/qwen36-27b-5060ti-bench (click the "live report" link in there for prettier pictures)

with MTP turned on, at Q8, with FP16 kv on Qwen3.6-27B: I got 608t/s cold prefill and 52.2t/s decode at 256Kt (255Kt, actually, weird borderline edge case I didn't bother troubleshooting) context. to me, these are excellent numbers for $2K of hardware and especially for this particular model which has become infamous for defeating lots of other combinations of hardware that are friendlier to MoE architectures.

so, I'm sure I missed something. if so, what was it?

(Text follows, transcribed by the Boox AI button)

This is at.50 oh my God. 
They did it again. I'm actually mad at 
how good this is. How 
This is at 0.30 and I think this is 
probably how you want to write on this. 
I am furious at how good this is BECAUSE 
of what something like this COULD be 
if they would actually put a real SoC 
and reasonable amount of RAM into it. 
Like it feels like Onyx is just going out of 
their way to tell (ED: "troll") me, personally with their 
smallest high-quality writer ever. ARGH 
Yes I knew the Note Mini Cis (probably) 
coming and that will probably be higher 
performance, but THAT WILL HAVE $!?#ING 
KALEIDO instead of this nice clean Carta!

a few things in addition to the above rant:

• this is on the 16-line template.
• I have wanted a small B&W note-taker like this for AGES, and they finally give it to us with *shockingly* good handwriting quality considering the price point -- it's the same as the 10.3 Gen 2's which is, imo, excellent -- but limit what it's capable of with senseless SoC, RAM and OS limitations.
• the thing is, I know there's another product coming that will fit the bill better with performance, the Note Mini C, but as you can tell from the name, IT WILL BE COLOR, which AFAIC ruins the damn thing. we can never have both performance and sharp black and white from this damn industry and it drives me up a wall.
• unfortunately(?!) I think this is a stupidly easy recommend for anyone looking for a highly portable note taker *or* a budget b&w reader, no contest, easy call. the OS version is and will continue to be a bigger and bigger problem, the performance may cause serious problems for some applications, but its firmware version support is up to date and the core software works perfectly on it. so for under $200? it's just an easy, EASY recommend for anyone who wants to get into e-ink note taking. the Onyx suite of software remains astonishingly powerful and flexible.
• Yet Another Boox Device Release That Is Both Exciting and Frustrating™. it must be a day ending in "y."

HELP

NOW YOU CAN'T EVEN PUT A COLLAPSED TOOLBAR THERE TO MOVE IT TO THE LEFT

now I constantly end up turning note pages because *that's where my hand rests while writing* because *I am right handed* and there is *no such thing as a Hand Touch button on the P2P*.. please can we just move this to the top. please. or into the toolbar. idc. I don't need fast page turn on the P2P. anywhere but specifically in the worst spot possible.

from "%Arabica" Coffee right by the Brooklyn Bridge.