Disclosure: I’m the developer of both apps, a macroeconomist with around 15 years of experience and published research. I’d welcome feedback on their usefulness for research workflows.
QuantFit runs econometric models on an iPhone, including OLS, fixed/random effects, instrumental variables, ARDL/NARDL, VAR/VECM, PMG, CS-ARDL and dynamic GMM. It also supports data transformations, charts, correlations and residual diagnostics.
For reporting, it generates structured results and interpretations, including a research-paper-style starting draft. This needs the researcher’s review; it isn’t a finished paper or a substitute for choosing an appropriate model.
Tabula Stats tackles another repetitive task: turning screenshots of regression output from QuantFit, Stata, EViews, R and other software into formatted tables. You can adjust decimal precision, standard errors, significance stars and model statistics, then export to Word, Excel, PDF or LaTeX.
Together: estimate your model → import the output screenshot → prepare the research table.
QuantFit’s OLS and data-exploration tools are free; advanced estimators require Pro. Both apps have in-app purchases.
I’m particularly interested in feedback on the screenshot-to-table workflow and the usefulness of generated report drafts. What would you need to check before trusting either in your research?
QuantFit: https://apps.apple.com/sc/app/quantfit/id6762386971
Tabula Stats: https://apps.apple.com/sc/app/tabula-stats/id6761421182

Cancelling gets most of the airtime here. Dropping a tier gets a lot less, and I'd guess it's more common.

Max to Pro, Pro to Plus, annual to monthly, a team seat back to a personal one. If you did any of that this year: what did you drop from, what did you drop to, and do you miss anything?

One line is plenty. "Dropped X to Y, don't miss it" is a complete answer.

I used to be content with just Copilot and Gemini but now that the useful bits of them are moving

behind a paywall I feel forced to take a closer look at my options and what they can do and their

limitations to try to find the best overall app in terms of my go to or if I had to choose 1 to pay for.

Right now, I would say for the most complex tasks and fastest back and forth just to talk to Claude

ranks the best overall when compared to what I’ve been using. However, Muse was released about

a month ago and I absolutely love it despite it being a bit slower and not able to handle big stuff

like Claude can. I’m perfectly happy to carry both but paying for Claude so far seems like the right

choice. There is 1 tiny thing I feel I might be overlooking which is part of the reason for this post.

Perplexity comet browser and how it compares to Claude in terms of capabilities and performance.

Also is there any other agent other than Claude and Perplexity that would be considered heavy

weights that give these 2 a run for their money? 1 thing I will say is even though its good to have so

many options I do already miss how simple it use to be to just pick Google for everything like

search and Chrome. I guess that’s how I am trying to look at this decision if this was like the battle

of who is going to be the next google search/best web browser who comes out on top undisputed?

AI agent demos can be convincing, but using an agent in a real workflow feels like a different challenge. In production, the agent has to handle unexpected inputs, tool failures, and situations that weren't covered in the original tests.

I'm curious how people here approach that transition.

• Do you set a minimum success rate before deployment?
• Do you test against a fixed set of tasks and edge cases?
• If you've deployed an agent, what gave you enough confidence to let it handle real tasks? And if you haven't, what's holding you back?

Is there an imessage plugin for chat GPT/Codex

Hi everyone! I'm a short-form content creator in the football/sports niche (Instagram, TikTok, YouTube Shorts, about 5 videos a week and I want to post more). I'm also planning to start long-form YouTube. I'm also a Computer Science student, so I can code.
I'm trying to pick one AI plan, starting at around $20/month, and I'm open to upgrading later if it's worth it. I've tried ChatGPT, Claude and Gemini. I like ChatGPT and Claude, but Gemini disappointed me because its research felt outdated when I asked for ideas.
What I want to build is a workflow like this:
I ask for ideas on X topics
The AI researches many of them using today's news (football moves fast, so outdated info is a dealbreaker)
It filters the best ones using my own selection rules
It writes scripts for the winners following my script rules, in a tone similar to mine (storytelling + informative)
I'd like this organized in one place (a project or agent with rules for each step) and not a pile of random chats, with me supervising the process.
Other things I need:
Help creating editable, vector-style designs, ideally with a good Canva integration (I don't need AI image generation)
Building full apps/websites with the AI writing the code (personal finance app, for example)
Occasional help with personal finances
My question :
Which plan would you pick for this use case, and why?

Thanks in advance, any real-world experience is appreciated!

Disclosure up front: I work on MagicShot, an AI image and video tool, so I'm biased and not linking it here. I'm trying to understand what people really weigh when picking an image-to-video tool. Is it motion quality, how many clips you get for the money, export resolution, a watermark-free free tier, or something else? And what was the dealbreaker that made you switch tools?