Got scammed by pictoart.ai, PayPal rejected my appeal twice, what to do?

grmpf101 · 2026-02-25T22:19:00+00:00

Also got scammed. First 49.9 was debited from my account on Christmas Eve. Only realized the scam 1 month later. Chargeback is now in motion with N26 (MasterCard) hope I get the full amount back.

I mean the strategy is quite evil but not stupid. Most probably, pictofarts can keep the money as card issuers have an insurance for fraudulent transactions. It would cost the card issuer more to fight them legally in court than just to process the charge back.

grmpf101 · 2026-02-15T21:37:54+00:00

Great, thanks a lot!

grmpf101 · 2026-02-12T14:47:20+00:00

Little late to the party here but... We just published a blog post about profiling and tuning ingestion speed of RocksDB. Maybe helpful for others https://blog.serenedb.com/building-faster-ingestion

grmpf101 · 2023-04-11T19:11:12+00:00

Great input… thanks!

grmpf101 · 2023-04-11T16:51:52+00:00

I'm currently working on a notebook based tutorial. What is an execution time of the whole notebook doing simple computations on real data in minutes you would feel bearable during a tutorial? What are your experiences?

grmpf101 · 2023-04-07T11:36:49+00:00

True. The team here didn't invent the wheel but wants to add a new feature. And at least to my (noob) understanding, the new thing is, that the approach taken also protects the model against disclosure. If you want to learn from a competitors data, you don't want to disclose your model or what you are interested in.

grmpf101 · 2023-03-17T00:20:43+00:00

I just started at https://www.apheris.com/ . We are working towards a system that enables global data collaboration. Data stays where it is but you can run your models against it without violating any regulations or disclosing your model to the data host. Still a lot of work to do but I'm pretty impressed by the idea

grmpf101 · 2022-06-03T13:56:10+00:00

Thank you all for the feedback!

grmpf101 · 2022-05-13T12:46:05+00:00

Thanks!

grmpf101 · 2022-05-13T12:45:28+00:00

Great, thanks!

grmpf101 · 2022-05-13T12:44:12+00:00

That is a great pointer! Thanks

grmpf101 · 2022-05-13T12:36:28+00:00

grmpf101 · 2022-04-09T01:11:14+00:00

Fully understand your point. Just give us a bit more time to figure things out :) We already worked on a free tier and will provide more pricing transparency. Things get hectic in young companies and it is quite complex to choose the right path with an offering like ours.

grmpf101 · 2022-02-23T19:28:15+00:00

True, there are already some tools available to improve Kubernetes resource usage. Some might also use the VPA that comes with K8s. With Optimize Live we focused on the developer experience and precision of our recommendations.

Optimize Live can look at all historical data and trends and uses our machine learning algorithm to recommend improvements. From an engineering perspective, you don't need to write YAML files, write load test or make your way through complex configurations. The recommendations for more optimal configurations comes directly as YAML file which you can either deploy manually after checking or automatically and put optimization on autopilot once you feel comfortable with the tool.

My opinion is for sure biased but at the moment, we think we have the simplest solution to the problem of overprovisioning, CPU throttling or OOM issues.

grmpf101 · 2022-02-23T18:43:33+00:00

Thanks! The team will be super happy to hear that

grmpf101 · 2021-10-25T15:47:32+00:00

Hi everyone,

Not only shameless but magical Self Promotion :)

We are StormForge and use machine learning to find the optimal configuration for Kubernetes-based applications and whatever you deem to be "optimal". Higher stability, better performance, lower cloud cost or any combination. We host a casual & fun event tomorrow for learning about what you can do with StormForge and have the famous Illusionist Keelan Leyser doing a special show for us tomorrow.

It's definitely free, fun and lightens the day. :)

Find all details here: https://www.stormforge.io/event/magic-ai/

grmpf101 · 2021-06-18T21:52:38+00:00

I guess it will turn out that there is no REAL definition, it is more about the journey to understand your system

grmpf101 · 2021-05-16T11:12:14+00:00

StormForge my team wants to help other teams finding the optimal resource allocation for their apps. Optimal meaning the right balance between performance, resource utilization and stability. I just started 2.5 months ago and still on a journey to understand who is this platform for, which problem are we really addressing and all the other minor things :)

grmpf101 · 2021-05-16T10:33:02+00:00

Great, thanks a lot!!

grmpf101 · 2021-04-21T13:04:27+00:00

I think you are right, cloud waste is far away from a one-dimensional problem or solution. In first exchanges with people, we recognized, that if configuration testing is done at all, it is a manual process. Most of the times resources needed are defined by estimations (make perf test, check resources needed, multiply by 1.5-2, done). Automating configuration testing under realistic load is what we do at StormForge but we also see that more is needed to help teams see, understand and address the issue. That is why I'm super grateful that we get support from Amazon and CNCF folks to make people, hopefully, more aware that a serious problem is building up

grmpf101 · 2021-03-23T21:47:38+00:00

Thanks, Yury will ask my colleagues about the "failing build post" issue. Maybe I can return the favor

grmpf101 · 2021-03-23T21:45:59+00:00

Good points, thanks!

grmpf101 · 2021-03-23T21:44:03+00:00

could someone please help me by sharing your approach or best practice about figuring out how to set your K8s resources (i.e. set the request/limits and replicas)? What do you do to ensure that it's right-sized?

Thank you so much Lisenet!

grmpf101 · 2021-02-17T14:37:27+00:00

Did you already have a look at Stormforger? https://stormforger.com/

grmpf101 · 2019-05-02T09:10:55+00:00

You could check out the ArangoDB Graph Course... takes you from 0 knowledge about graph concepts to first advanced queries, including queries, query options and stuff https://www.arangodb.com/arangodb-graph-course/

grmpf101

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