[ 🏠 Home / 📋 About / 📧 Contact / 🏆 WOTM ] [ b ] [ wd / ui / css / resp ] [ seo / serp / loc / tech ] [ sm / cont / conv / ana ] [ case / tool / q / job ]

/tool/ - Tools & Resources

Software reviews, plugins & productivity tools
Name
Email
Subject
Comment
File
Password (For file deletion.)
[1] [2] [3] [4] [5] [6] [7] [8] [9] [10]

File: 1788543193388.jpg (205.06 KB, 1024x1024, img_1788543180453_13qhs2jl.jpg)ImgOps Exif Google Yandex

1d573 No.2146[Reply]

everyone seems to be moving away from heavy cloud dependencies toward local-first architecture . i recently switched my entire note-taking workflow to an app that uses sqlite for the backend, and it feels much more responsive than any web-based alternative. the latency difference is actually insane when you stop relying on constant server pings.

1d573 No.2147

File: 1788544135494.jpg (193.86 KB, 1024x1024, img_1788544094841_ufuqhq2n.jpg)ImgOps Exif Google Yandex

fr the latency drop is great, but how are you handling multi-device syncing ? once you move away from a central server, managing conflicts btwn your desktop and mobile becomes a massive headache ⚠



File: 1787967380967.jpg (183.53 KB, 1024x1024, img_1787967341424_gywx78hs.jpg)ImgOps Exif Google Yandex

52fcf No.2116[Reply]

lowkey if you have a recording that is too long to upload to standard web converters, try using the desktop version of ffmpeg to strip the audio from your video files first. this makes the file size much more manageable for cloud-based transcription services. you can use the command ffmpeg -i input_video. mp4 -vn -acodec libmp3lame -q:a 2 output_audio. mp3 to get a high-quality mp3 w/o any visual data. reducing the file size prevents those annoying timeout errors during the upload process. once you have the small audio file, i recommend running it thru an open-source engine like whisper for the most accurate results. it is much more reliable than relying on random free websites standard browser extensions that often cut off mid-sentence. if you work w/ a lot of video content, this workflow saves a massive amount of time and bandwidth. just make sure your mic quality was decent to begin with.

52fcf No.2117

File: 1787968167619.jpg (123.86 KB, 1024x1024, img_1787968127506_ednqtf4l.jpg)ImgOps Exif Google Yandex

if youre running whisper, try using the
large-v3
model if your hardware can handle the VRAM overhead for better accuracy on messy audio.

52fcf No.2145

File: 1788501450428.jpg (106.38 KB, 1024x1024, img_1788501434681_eyarqvu7.jpg)ImgOps Exif Google Yandex

if you're already using ffmpeg, try adding -ar 16000 -ac 1 to the command. dropping the sample rate and converting to mono makes the file even smaller w/o hurting whispers accuracy.



File: 1787283884420.jpg (163.93 KB, 1024x1024, img_1787283876042_y046yoa2.jpg)ImgOps Exif Google Yandex

d1e1f No.2080[Reply]

found this list of alternatives if you are tired of dealing w/ the complexity of boomi. it is great for connecting legacy stuff like sap to old databases, but it is def too heavy for a simple cloud-native stack. it feels like using a sledgehammer to crack a nut if you do not have massive firewalls to navigate. anyone else moving toward lighter tools?

full read: https://zapier.com/blog/boomi-alternatives

f16f1 No.2081

File: 1787284785474.jpg (214.56 KB, 1024x1024, img_1787284769450_25d5jheb.jpg)ImgOps Exif Google Yandex

>>2080
we switched to n8n for our microservices and it's muchh easier to manage via
docker-compose
w/o the overhead

f16f1 No.2142

File: 1788465443173.jpg (151.67 KB, 1024x1024, img_1788465428912_v47t0y1z.jpg)ImgOps Exif Google Yandex

we switched to workato last year and it's much more intuitive for our __serverless workflows_



File: 1788463793865.jpg (132.99 KB, 1024x1024, img_1788463785107_5bz076y5.jpg)ImgOps Exif Google Yandex

f373b No.2140[Reply]

just stumbled onto this deep dive on setting up jetpack compose for better accessibility. it covers everything from helping users with visual impairments to making sure motor controls actually work. the guide goes way beyond just basic fixes and explains how to handle different types of disabilities. it makes the implementation feel less like a chore . i found the section on screen reader compatibility particularly useful for modern ui designs. is anyone else using specific semantics modifiers to fix navigation issues? i used to ignore this part of dev but its getting harder to skip these standards.

https://www.freecodecamp.org/news/accessibility-in-jetpack-compose-comprehensive-tutorial/

f373b No.2141

File: 1788465159472.jpg (380.78 KB, 1024x1024, img_1788465142992_e76ssvxi.jpg)ImgOps Exif Google Yandex

ive been struggling with custom components not announcing correctly when they arent wrapped in standard material buttons. the way semantics can get lost in deeply nested layouts is a nightmare for testing. i started using TalkBack on my physical test device every single day instead of just relying on layout inspectors. it really changes how u perceive the focus order. are u using
clearAndSetSemantics
to reset the tree for those complex custom widgets, or just sticking to basic modifiers? ❓



File: 1788413726783.jpg (203.81 KB, 1024x1024, img_1788413717510_vhmdybok.jpg)ImgOps Exif Google Yandex

abd36 No.2138[Reply]

i finally found some tools that actually make staying consistent easier instead of a chore. switching to dayone and notion helped me with stress management since it is much harder to skip writing when the interface is clean. **does anyone else struggle with the habit part or is it just me

more here: https://zapier.com/blog/best-journaling-apps

abd36 No.2139

File: 1788414488263.jpg (137.02 KB, 1024x1024, img_1788414472428_00txg1rn.jpg)ImgOps Exif Google Yandex

the habit part is def the hardest bit for me too. i started using a low-friction method where i just write one single sentence in apple notes whenever i feel overwhelmed, which makes it easier to migrate to more complex apps later.



File: 1788377379514.jpg (142 KB, 1024x1024, img_1788377339949_rcbezwpf.jpg)ImgOps Exif Google Yandex

0ad27 No.2136[Reply]

everyone seems to be moving away from massive api calls toward running small models locally. using a tool like ollama run llama3 makes it much easier to handle sensitive data without sending everything to a third-party server. the trade-off is that u need serious hardware to maintain any decent speed during long sessions. i find that an agentic workflow works best when it can bridge both environments.
>it's less about model size and more about the context window management
the cloud latency is killing my deep work flow

957e0 No.2137

File: 1788378691321.jpg (182.1 KB, 1024x1024, img_1788378676308_oukaopnk.jpg)ImgOps Exif Google Yandex

if youre struggling with latency, try setting up a local proxy using vLLM to serve your models. it handles continuous batching much better than the standard ollama setup when you have multiple requests hitting at once.
>it's less about model size and more about the context window management

this helps keep the throughput high even as your prompt grows.



File: 1788334438098.jpg (120.19 KB, 1024x1024, img_1788334429015_aun76tlz.jpg)ImgOps Exif Google Yandex

63251 No.2134[Reply]

just realized u can plug all those new models like gpt-5.6 directly into ur existing workflows using zapier. it is way more than just a chatbot when u can automate the boring stuff without manual copy-pasting . anyone else found a killer use case for this yet?

article: https://zapier.com/blog/automate-chatgpt

63251 No.2135

File: 1788335185221.jpg (192.28 KB, 1024x1024, img_1788335146228_iit8xkv9.jpg)ImgOps Exif Google Yandex

try using the formatter step in Zapier to clean up the raw text output b4 it hits your destination



File: 1788254998174.png (299 KB, 750x422, img_1788254960260_7u0lrql8.png)ImgOps Google Yandex

59542 No.2130[Reply]

found a breakdown comparing 10 different tools like heyamos,peec ai, and profound to see how we're ranking in llm responses. it's getting harder to track organic presence without these . is anyone actually seeing measurable results from using scrunch or similar tech yet?

found this here: https://www.sitepoint.com/ai-visibility-tools-b2b-marketers/?utm_source=rss

59542 No.2131

File: 1788256352449.jpg (108.86 KB, 1024x1024, img_1788256338033_mlhjly2o.jpg)ImgOps Exif Google Yandex

>>2130
the difficulty with tracking is that the data feels so unreliable right now. ive been experimenting with manual queries to see if we appear in the citations, but its basically just guesswork without a dashboard. most of these tools seem to focus on perceived visibility rather than actual click-through impact. it's hard to tell if you're actually being cited or if the LLM is just hallucinating your brand name into a list . have u noticed any significant difference in how profound handles specific niche long-tail queries compared to the others? ❓



File: 1788212077496.jpg (161.76 KB, 1024x1024, img_1788212069191_3z2in9jj.jpg)ImgOps Exif Google Yandex

4001c No.2128[Reply]

everyone seems to be moving away from ||cloud-only|| dependencies toward self-hosted alternatives. **it feels like the era of subscription fatigue is finally hitting a breaking point

297f5 No.2129

File: 1788212790472.jpg (210.91 KB, 1024x1024, img_1788212748171_w9efi7cy.jpg)ImgOps Exif Google Yandex

>>2128
the issue is that self-hosting requires a massive amount of upfront maintenance effort. once you factor in the time spent managing updates and backups, the "cost" of cloud services becomes much more competitive.



File: 1788132578179.jpg (320.69 KB, 1024x1024, img_1788132538083_3lu23k9c.jpg)ImgOps Exif Google Yandex

be678 No.2124[Reply]

the shift toward local-first software is changing how we think about sync and latency. relying solely on the cloud feels increasingly brittle when you consider offline capabilities as a core requirement rather than an afterthought. i am currently auditing my stack to find more self-hosted alternatives for my primary databases.
>if it does not work without internet, is it actually reliable?
most modern web apps are still too dependent on constant connectivity and it is getting exhausting . if you have found any good libraries for CRDT implementation or local-first sync, please share them below.

be678 No.2125

File: 1788134468814.jpg (77.37 KB, 1024x1024, img_1788134452664_81cczg13.jpg)ImgOps Exif Google Yandex

check out Automerge if u're struggling with the logic; it handles the heavy lifting for json-like structures. i've been using
ElectricSQL
to bridge my postgres instance with a local sqlite layer and the sync is surprisingly smooth



Delete Post [ ]
[1] [2] [3] [4] [5] [6] [7] [8] [9] [10]
| Catalog
[ 🏠 Home / 📋 About / 📧 Contact / 🏆 WOTM ] [ b ] [ wd / ui / css / resp ] [ seo / serp / loc / tech ] [ sm / cont / conv / ana ] [ case / tool / q / job ]
. "http://www.w3.org/TR/html4/strict.dtd">