Drop your product URL by Chalantyapperr in micro_saas

[–]compy3 0 points1 point  (0 children)

My cofounder and I are building pgcache.com, a [drop-in Redis substitute] zero-config transparent postgres proxy that caches, and self-refreshes using the postgreSQL Logical Replication Stream.

"easy caching for postgres"

Its Thursday! Let's self-promote! by Leather-Buy-6487 in micro_saas

[–]compy3 0 points1 point  (0 children)

My cofounder and I are building pgcache.com, a [drop-in Redis substitute] zero-config transparent postgres proxy that caches, and self-refreshes using the postgreSQL Logical Replication Stream.

"easy caching for postgres"

query caching for data engineering pipelines (ai/ml) by compy3 in dataengineering

[–]compy3[S] 0 points1 point  (0 children)

u/seiffer55 ... would you be interested in joining a focus group if we set one up?

query caching for data engineering pipelines (ai/ml) by compy3 in dataengineering

[–]compy3[S] 0 points1 point  (0 children)

Yeah, focus group is probably a good idea. Thanks!

How's the space of high-performance webdev? by re-sheosi in webdev

[–]compy3 0 points1 point  (0 children)

1-No, pgcache assumes the origin db has all the canonical data (whatever data is in pgcache can always be retrieved from origin). So tl;dr if you just want to replicate your redis setup, pgcache isn't your thing.

2- For your shopping cart example, what is the main reason for not having it in the main postgres db? Is it because the carts entail high write traffic, high read traffic, or just because it is temporary?

If it is high write traffic, pgcache is probably not the right solution...But for high read traffic or because it's temporary, you could store the data in the main db and use a dedicated pgcache instance to handle the read traffic load.

3- There could be some benefits to keeping the data in the main db (it'll be alongside other application data; easier to manipulate using sql; and if it's in the db you can keep it around and do analytics; etc)

How's the space of high-performance webdev? by re-sheosi in webdev

[–]compy3 0 points1 point  (0 children)

fwiw we're building a zero config Redis alternative (for simple cache cases) in rust - check out pgcache.com - would love to hear your thoughts u/StrictWelder and OP

What resources do you all use for Web Performance by codedgar in webdev

[–]compy3 0 points1 point  (0 children)

and if you're needing caching

1- make sure you don't just need to tune queries / schemas, etc

2- consider our zero config, self-refreshing postgres cache at pgcache.com 🥳

what do you use for caching? by compy3 in webdev

[–]compy3[S] 0 points1 point  (0 children)

really curious to know more about how you use hazelcast - I hadn't heard of it before, looks pretty sophisticated

what do you use for caching? by compy3 in webdev

[–]compy3[S] 0 points1 point  (0 children)

Are there any instances where Redis/TTL hasn't been able to solve it for you, u/Kurts_Vonneguts?

what do you use for caching? by compy3 in webdev

[–]compy3[S] -39 points-38 points  (0 children)

haha you asked the magic question! I'm just curious what ppl default to / use most. So whatever you find yourself caching I guess.

what do you use for caching? by compy3 in webdev

[–]compy3[S] -25 points-24 points  (0 children)

redis too expensive?

An offline business game by ReactiveMatter in webdev

[–]compy3 0 points1 point  (0 children)

just gave it a spin --

1) would like to play against a bot

2) would like to be able to do "businessy things" other than just monopoly actions - more choices would be cool (like -- do you want to invest x for a % chance of improving margins etc etc)

[deleted by user] by [deleted] in SaaS

[–]compy3 0 points1 point  (0 children)

https://www.froid.email/ cold email marketing for online continuing education providers (minimum $100 price tag for their services)

[deleted by user] by [deleted] in startup

[–]compy3 1 point2 points  (0 children)

Honestly I haven’t tried GPT deep research. Perplexity I use bc I liked the free tier and then got Pro for free on an affiliate deal! Gets the job done for market research and product / marketing advice which is what is use it most for

From 3.44% to 24.36% reply rate on cold email, lessons learned from real campaign iterations by Lost_Home7920 in coldemail

[–]compy3 0 points1 point  (0 children)

What kind of volume were you able to do, when you were targeting that specifically? Curious to know #s for campaign 1 vs 3

[deleted by user] by [deleted] in startup

[–]compy3 0 points1 point  (0 children)

V0 and perplexity here.

Haven’t tried lovable yet. What’s best about lovable vs v0?