DaedalMap

Geographic location tools. Convert between counties, ZIP codes, watersheds and school districts with a single ID.

[DaedalMap @daedalmap]

Been seeing a lot of videos and posts of tech influencers talking about how they're tired of the speed of coding, LLMs, new AI models...

It seems to be crashing all at once, but I think that's a good thing not a bad one

1/x

[Sanya Jain - Your Grad Coach @yourgradcoach]

Here’s what I would do in the next 30 days if I wanted to win a fully funded PhD before the end of 2026.

Days 1–3: Build your research profile.
Write down your 3 strongest research experiences. For each one, record: research question, dataset/material, methodology, your specific contribution, one problem you encountered, how you solved it, and the main result. Then write 3 research areas you could realistically pursue for a PhD. Your output: a one-page research profile.

Days 4–7: Find 30 potential labs.
Search university PhD vacancies, lab pages, funded projects, research group websites and recent papers. Do not shortlist universities first. Shortlist labs and professors. For every target, record: professor, research topic, current project, funding status, required methods, deadline and application route. Your output: a spreadsheet of 30 potential labs.

Days 8–10: Read before you apply.
Take your best 10 labs. Read 2 recent papers from each professor. Do not read them passively. For every paper, write: research question, methodology, key finding, limitation, and what question remains unanswered. Then compare those questions with your own research experience.

Your output: 10 research-match notes.

Days 11–13: Build your match matrix.
For each of those 10 labs, create five columns:
Lab needs → Required skill → My evidence → Research connection → Possible contribution

For example:
Lab needs: computational modelling
Your evidence: developed and evaluated predictive models during MSc research
Research connection: same modelling framework applied to a different dataset
Possible contribution: investigate whether the approach transfers under different conditions

If you cannot fill these columns with real evidence, remove the lab from your priority list.

Days 14–17: Rebuild your CV.
Stop describing activities. Rewrite your strongest research experiences around problem → method → decision → result.
Instead of:
“Used Python for data analysis.”
Write:
“Developed a Python-based pipeline to analyse X dataset, compared two modelling approaches, identified performance limitations and modified the preprocessing procedure to improve prediction accuracy.”

Your output: one research-focused master CV.

Days 18–20: Write targeted cover letters.
Choose your 5 strongest opportunities. For each one, answer four questions:

Why this research problem?
Why this lab?
What evidence shows I can contribute?
What could I investigate next?

Days 21–23: Prepare professor outreach.
Choose the 10 professors with the strongest research match. For each, identify one specific paper, problem, limitation or methodological connection worth mentioning.

Then write a short email built around:
Their research → your relevant evidence → the research connection → your question about an opportunity.

Your goal is not to tell them your life story. Give them a reason to continue the conversation.

Days 24–26: Submit the strongest applications.
Apply to the opportunities where you have the strongest evidence of research fit. Before submitting, check every document against the advertisement. Every major required skill should either have evidence in your CV or a clear explanation in your cover letter.

Days 27–30: Build the interview pipeline.
For every application and professor contact, prepare answers to:

What exactly did you research?
Why did you choose that method?
What went wrong?
What did you change?
What did you learn?
What would you investigate next?
Why this lab?

If you want to work with me on writing strong scholarship applications using my 30-day strategy; DM me “30 DAYS”

[DaedalMap @daedalmap]

@SimonHoiberg How are you getting through a week so fast? There was a period when there was no 5 hours limits, I burned a week in a day, but now a 5 hour limit is ~15% of a weekly limit, so it takes me 2-3 days to get a week burned, even if I use my 5 hours in ~30 min....

[DaedalMap @daedalmap]

@OscarButa80012 @Lishay_3536 Pupils?

[DaedalMap @daedalmap]

@Lishay_3536 SKIN

[DaedalMap @daedalmap]

@tiya_decodes Thats why architecture, flow, and modularity of code is the important part.

Ah, the good old days of PLC state diagrams...

[DaedalMap @daedalmap]

@anah_sahh Just make sure your initial prompt has "make no mistakes" and you're good to go

[DaedalMap @daedalmap]

@Orion_Vers7x https://t.co/gmsba85elV

Lots of free datasets to work with there

[DaedalMap @daedalmap]

@hunterguo101 I also thinks it's what separates the vibers from the coders.

Gotta spend time cleaning up the spaghetti! (or ideally prevent it from appearing in the first place, but some always sneaks into your pockets)

[DaedalMap @daedalmap]

Cleaning up the MCP tools for entering the DaedalMap loc_id universe, and also for getting data within.

Things have gotten a bit messy, but now the boundaries are clear and easier for others to use!

Start here: https://t.co/SoigkzyYBe

[DaedalMap @daedalmap]

@Zayan5754 https://t.co/U02razATyZ

Soon I'll be on the list. All your data will play nice together and enable easier joins and queries!

[DaedalMap @daedalmap]

@giswqs Looking great! I've got some other live feeds I can share with you, getting hurricanes working properly was a pain since there are 4 agencies that need to merge/dedup

[DaedalMap @daedalmap]

@skpnky There is nothing but the build

https://t.co/ATTmg0ro9y

[DaedalMap @daedalmap]

@RyanWeather I'm ready to collab, but this looks more graphical focused than I usually do. But I do want to get into more climate data sets, I'm ready to process some rasters

[DaedalMap @daedalmap]

@zakiraicoder Get your data here, it all joins together!

https://t.co/aKoZWAw2qZ

[DaedalMap @daedalmap]

@Alex1here Scream into the void until its forced to pay attention to you

[DaedalMap @daedalmap]

@PaulRoundy1 Interns are like a variety pack, never know what you're going to get! I've worked with a few BS, some undergrad, and working with a PhD now.

PhD is my favorite, she makes the most progress on her own and is the most self directed, so I think AI is like an undergrad

[DaedalMap @daedalmap]

@AaronJBecker @simongerman600 Amazing! What inspired you?

[DaedalMap @daedalmap]

@simongerman600 I do love historical sources

[DaedalMap @daedalmap]

@RyanWeather Unless the data is properly organized, sourced, cited, and the whole history is known...