\n \n \n \n

\n\n\n

Choose a template

🔬

Research Focus

Highlights lab experience, publications, and academic projects prominently.

⚙️

Engineering & CS

Project-first layout with a strong technical skills section.

🩺

Pre-Health

Emphasizes clinical hours, shadowing, and patient-care experience.

📊

Data Science

Showcases datasets, tools, and analytical outcomes with metrics.

🧬

Biology / Life Sciences

Lab techniques, poster presentations, and fieldwork highlighted.

🌿

Environmental Science

Field work, sustainability projects, and policy experience.

\n\n

\n ✦ Tip: Select a template, then switch to the Resume Builder tab to fill in your information. Your template choice will shape the section order and layout of your exported resume.\n

\n\n \n

\n\n\n

\n\n \n

👤 Personal Information

First Name

Last Name

Phone

LinkedIn / GitHub

City, State

\n\n \n

🎓 Education

\n \n

School

Degree & Major

Graduation Year

GPA (optional)

Relevant Coursework

\n \n

\n\n \n

💼 Research & Experience

\n \n

Role / Position

Organization

Dates

Location

\n Bullet Points (one per line)\n \n

\n \n

\n\n \n

🚀 Projects

\n \n

Project Name

Tools / Languages

Date / Duration

Link (optional)

\n Description\n \n

\n \n

\n\n \n

🛠 Technical Skills

\n Programming Languages\n

\n \n

\n Tools & Frameworks\n

\n \n

\n Lab Techniques\n

\n \n

\n Soft Skills / Other\n

\n \n

\n\n \n

🏆 Activities & Honors

\n \n

Activity / Award

Date

Description (optional)

\n \n

\n\n

\n \n \n

\n\n\n

\n ✦ How it works: Describe what you did in plain language. Select your context, then generate 3 polished bullet points using strong action verbs and quantifiable results. Copy your favorites directly into the Resume Builder.\n

\n\n

⌨️ Your Input

\n\n

Context Type

\n \n \n \n \n \n \n

\n\n

\n What did you do? (be as rough as you like)\n \n

\n\n

\n Any numbers / metrics? (optional)\n \n

\n\n

\n Outcome / Impact (optional)\n \n

\n\n \n

\n\n

✨ Generated Bullets

🔬

Fill in the form and click Generate to see polished bullet points here.

\n\n

\n\n\n\n\n\n\n\n`;\n\n return new Response(html, {\n status: 200,\n headers: { \"Content-Type\": \"text/html; charset=utf-8\" },\n });\n}","label",[143],"a870313a-3080-11f1-9e8e-42dde27851f2","new-file-816.ts","98d94ef0-3080-11f1-84a0-42dde27851f2",31,["D",1775346456486],3,"const HTML = `\n\n\n\n\nResearch Idea Generator\n\n\n\n\n\n

Research Idea Generator

Pick a field, set your filters, and get research project ideas tailored to your level — from high school feasible to competition-ready.

Pick a Field

\n \n \n \n \n \n \n \n \n \n \n

Feasibility Level

\n \n \n \n \n

Project Duration

\n \n \n \n \n

Specific Interest (optional — filters by keyword)

\n \n

\n\n

\n\n\n`;\n\nexport default async function (req: Request): Promise {\n const url = new URL(req.url);\n\n if (req.method === \"GET\" && url.pathname === \"/\") {\n return new Response(HTML, {\n headers: { \"Content-Type\": \"text/html; charset=utf-8\" },\n });\n }\n\n if (req.method === \"POST\" && url.pathname === \"/generate\") {\n const apiKey = Deno.env.get(\"ANTHROPIC_API_KEY\");\n if (!apiKey) {\n return new Response(\"Missing ANTHROPIC_API_KEY environment variable\", {\n status: 500,\n });\n }\n\n let body: any;\n try {\n body = await req.json();\n } catch {\n return new Response(\"Invalid JSON body\", { status: 400 });\n }\n\n const {\n field = \"Biology\",\n feasibility = \"Any Level\",\n duration = \"Any Duration\",\n interest = \"\",\n } = body;\n\n const prompt =\n `You are a research idea generator for students and researchers.\nGenerate exactly 6 creative, specific, and actionable research project ideas in the field of \"${field}\".\n${feasibility !== \"Any Level\" ? \"Feasibility level: \" + feasibility + \".\" : \"\"}\n${duration !== \"Any Duration\" ? \"Project duration: \" + duration + \".\" : \"\"}\n${interest ? 'Focus on the keyword/topic: \"' + interest + '\".' : \"\"}\n\nReturn ONLY valid JSON with no markdown fences, no commentary, just raw JSON:\n{\n \"ideas\": [\n {\n \"title\": \"Short punchy project title\",\n \"description\": \"2-3 sentence description of what the project involves and why it matters.\",\n \"tag\": \"sub-field tag e.g. Genetics, Deep Learning, Thermodynamics\",\n \"feasibility\": \"High School or Competition or University\",\n \"duration\": \"e.g. 3-4 weeks\"\n }\n ]\n}`;\n\n const anthropicRes = await fetch(\"https://api.anthropic.com/v1/messages\", {\n method: \"POST\",\n headers: {\n \"Content-Type\": \"application/json\",\n \"x-api-key\": apiKey,\n \"anthropic-version\": \"2023-06-01\",\n },\n body: JSON.stringify({\n model: \"claude-sonnet-4-20250514\",\n max_tokens: 2000,\n messages: [{ role: \"user\", content: prompt }],\n }),\n });\n\n if (!anthropicRes.ok) {\n const errText = await anthropicRes.text();\n return new Response(\"Anthropic API error: \" + errText, { status: 502 });\n }\n\n const data = await anthropicRes.json();\n const raw = (data.content as any[]).map((b) => b.text || \"\").join(\"\");\n const clean = raw.replace(/```json|```/g, \"\").trim();\n\n try {\n const parsed = JSON.parse(clean);\n return new Response(JSON.stringify(parsed), {\n headers: { \"Content-Type\": \"application/json\" },\n });\n } catch {\n return new Response(\n JSON.stringify({ error: \"Failed to parse AI response\", raw }),\n {\n status: 500,\n headers: { \"Content-Type\": \"application/json\" },\n },\n );\n }\n }\n\n return new Response(\"Not found\", { status: 404 });\n}",[155],"ad017dbe-31ff-11f1-9fbe-42dde27851f2","new-file-6735.ts","63cea808-31d0-11f1-b55e-42dde27851f2",75,["D",1775510961393],6,"// Val Town HTTP handler -- AP Score Calculator by LearnSTEM Initiative\n// Set ANTHROPIC_API_KEY in your Val Town Environment Variables.\n\nconst HTML: string = `\n\n\n\n\nAP Score Calculator — LearnSTEM Initiative\n\n\n\n\n

AP Score Calculator

Just finished your exam? Enter your section scores and see your AP score.

Select Your AP Exam

Enter Your Scores

\n \n

\n\n\n`;\n\nexport default async function handler(req: Request): Promise {\n const url = new URL(req.url);\n if (req.method === \"POST\" && url.pathname === \"/api/claude\") {\n const apiKey = Deno.env.get(\"ANTHROPIC_API_KEY\") ?? \"\";\n if (!apiKey) {\n return new Response(\n JSON.stringify({ error: \"ANTHROPIC_API_KEY not set\" }),\n {\n status: 500,\n headers: { \"Content-Type\": \"application/json\" },\n },\n );\n }\n const body = await req.json();\n const upstream = await fetch(\"https://api.anthropic.com/v1/messages\", {\n method: \"POST\",\n headers: {\n \"Content-Type\": \"application/json\",\n \"x-api-key\": apiKey,\n \"anthropic-version\": \"2023-06-01\",\n },\n body: JSON.stringify(body),\n });\n const data = await upstream.json();\n return new Response(JSON.stringify(data), {\n status: upstream.status,\n headers: { \"Content-Type\": \"application/json\" },\n });\n }\n return new Response(HTML, {\n status: 200,\n headers: { \"Content-Type\": \"text/html; charset=utf-8\" },\n });\n}",[163],"d47285c0-322a-11f1-861e-42dde27851f2",["D",1775529495941],[27],"cab1b924-31d1-11f1-b51b-42dde27851f2","new-file-4193.ts","c5dd7122-31d1-11f1-829e-42dde27851f2",72,["D",1775491254365],"// Val Town HTTP handler -- Citation Builder by LearnSTEM Initiative\n// Set ANTHROPIC_API_KEY in your Val Town Environment Variables.\n\nconst HTML: string = \"\\n\\n\\n\\n\\nCitation Builder \\u2014 LearnSTEM Initiative\\n\\n\\n\\n\\n\\n

\\n

Citation Builder

\\n

Paste any source \\u2014 get it formatted in APA, MLA, and Chicago instantly

\\n

By The LearnSTEM Initiative

\\n

Citations built: 0

\\n

\\n\\n

\\n\\n \\n

Citation Format

\\n

\\n \\n \\n \\n \\n

\\n

\\n\\n \\n

Your Source

\\n

\\n \\n \\n \\n \\n \\n \\n

\\n\\n \\n

0 characters

\\n\\n \\n

\\n

\\n Access Date (for websites)\\n \\n

\\n

\\n Page Numbers\\n \\n

\\n

\\n Publisher / Journal Name\\n \\n

\\n

\\n Volume / Issue / Edition\\n \\n

\\n

\\n\\n

\\n \\n \\n \\n

\\n\\n

\\n

Try an example

\\n

\\n \\n \\n \\n \\n \\n

\\n

\\n\\n \\n

Formatted Citations

\\n \\n\\n \\n

Extracted Details

\\n \\n\\n \\n

Recent Citations

\\n \\n\\n \\n

Citation Tips

\\n

🔎

\\n

The More Info, the Better

\\n

Even rough details \\u2014 a partial author name, a year, a vague title \\u2014 give Claude enough to build a complete citation. Paste whatever you have.

\\n

📆

\\n

Access Dates Matter

\\n

For websites, MLA and Chicago require the date you accessed the page. Add it in the extra fields above if you know it \\u2014 it changes the format.

\\n

✏️

\\n

Always Double-Check

\\n

AI-generated citations are a great starting point but always verify author spellings, page numbers, and publication dates against the original source.

\\n

📚

\\n

APA vs MLA vs Chicago

\\n

APA is standard in social sciences. MLA is used in humanities and literature. Chicago is common in history and publishing. When unsure, ask your teacher.

\\n

🔗

\\n

DOIs Are Gold

\\n

A DOI (Digital Object Identifier) uniquely identifies a journal article. If you have one, paste it \\u2014 it contains all the metadata needed for a perfect citation.

\\n

👥

\\n

Multiple Authors

\\n

Paste all author names as they appear on the source. Each format handles them differently \\u2014 APA uses et al. after 3, MLA after 3, Chicago lists all.

\\n

\\n\\n

\\n\\n\\n\\n\";\n\nexport default async function handler(req: Request): Promise {\n const url = new URL(req.url);\n if (req.method === \"POST\" && url.pathname === \"/api/claude\") {\n const apiKey = Deno.env.get(\"ANTHROPIC_API_KEY\") ?? \"\";\n if (!apiKey) {\n return new Response(JSON.stringify({ error: \"ANTHROPIC_API_KEY not set\" }), {\n status: 500, headers: { \"Content-Type\": \"application/json\" },\n });\n }\n const body = await req.json();\n const upstream = await fetch(\"https://api.anthropic.com/v1/messages\", {\n method: \"POST\",\n headers: { \"Content-Type\": \"application/json\", \"x-api-key\": apiKey, \"anthropic-version\": \"2023-06-01\" },\n body: JSON.stringify(body),\n });\n const data = await upstream.json();\n return new Response(JSON.stringify(data), {\n status: upstream.status, headers: { \"Content-Type\": \"application/json\" }\n });\n }\n return new Response(HTML, { status: 200, headers: { \"Content-Type\": \"text/html; charset=utf-8\" } });\n}",[174],"27d9b10a-310b-11f1-8a96-42dde27851f2","new-file-3783.ts","f5561d5e-310a-11f1-90dd-42dde27851f2",52,["D",1775405940803],4,"// Val Town HTTP handler -- Study Planner & Exam Tracker by LearnSTEM Initiative\n// Set ANTHROPIC_API_KEY in your Val Town Environment Variables.\n\nconst HTML: string =\n '\\n\\n\\n\\n\\nStudy Planner & Exam Tracker \\u2014 LearnSTEM Initiative\\n\\n\\n\\n\\n

\\n

Study Planner & Exam Tracker

\\n

Add your exams, generate an AI schedule, track your progress. Built for AP exam season.

\\n

By The LearnSTEM Initiative

\\n

\\n\\n

\\n

\\n \\n \\n \\n \\n

\\n\\n \\n

\\n

Add Exams & Classes

\\n

Class / Exam Name

\\n

Exam Date

\\n

Type\\n \\n

\\n

Subject Area\\n \\n

\\n

Difficulty (1-5)\\n \\n

\\n

\\n Current Confidence\\n

\\n \\n \\n

\\n

\\n \\n

\\n

Quick Add AP Exams\\n \\n

\\n

Click any exam to pre-fill with the official 2026 date.

\\n

Your Exams 0

\\n

No exams added yet.

\\n

Countdowns

\\n

Add upcoming exams to see countdowns.

\\n

\\n\\n \\n

\\n

Class Colors

\\n

Click a dot to change color. Drag pills between days to reschedule.

\\n

Generate Schedule

\\n

\\n \\n \\n \\n

\\n

\\n\\n \\n

\\n

Exam Readiness

\\n

Add exams to track progress.

\\n

Sessions Completed

\\n

Generate a schedule to track sessions.

\\n

\\n\\n \\n

\\n

AP Exam Strategy

\\n

Start Here

One Exam. One Strategy.

Read the College Board scoring guidelines before your first study session. Every hour studied without knowing the rubric may not transfer to points. Work backwards from the score you want.

\\n

The Rule

The 3-Week Shift

3 weeks out: deep learning. 2 weeks out: active recall and practice Qs. 1 week out: timed FRQs. Exam week: light review only \\u2014 sleep matters more than cramming.

\\n

Method

Active Recall

Close your notes. Write everything you remember. The struggle to retrieve is what builds memory \\u2014 passive re-reading is nearly useless.

\\n

Method

Spaced Repetition

Review at increasing intervals: 1 day, 3 days, 1 week, 2 weeks. This app automatically schedules reviews for topics you study.

\\n

Method

Teach It

Explain a concept out loud as if teaching someone. Where you stumble is exactly what you still need to review.

\\n

Exam Tactics

FRQ Discipline

College Board releases every past FRQ with rubrics. Practice under timed conditions and grade yourself against the official rubric, not your gut.

\\n

Science of Learning

What Research Says

\\n

01
Interleaving beats blockingMix subjects in one session. Harder but builds stronger retrieval.
02
Sleep consolidates memoryOne full night beats late-night cramming every time.
03
Desirable difficultyIf it feels easy, you\\'re probably not learning.
04
Testing beats re-readingEvery practice problem is worth more than reading notes again.

\\n

\\n\\n\\n\\n\\n\\n

\\n \\n

\\n\\n\\n\\n\\n\\n';\n\nexport default async function handler(req: Request): Promise {\n const url = new URL(req.url);\n\n if (req.method === \"POST\" && url.pathname === \"/api/claude\") {\n const apiKey = Deno.env.get(\"ANTHROPIC_API_KEY\") ?? \"\";\n if (!apiKey) {\n return new Response(\n JSON.stringify({ error: \"ANTHROPIC_API_KEY not set\" }),\n {\n status: 500,\n headers: { \"Content-Type\": \"application/json\" },\n },\n );\n }\n const body = await req.json();\n const upstream = await fetch(\"https://api.anthropic.com/v1/messages\", {\n method: \"POST\",\n headers: {\n \"Content-Type\": \"application/json\",\n \"x-api-key\": apiKey,\n \"anthropic-version\": \"2023-06-01\",\n },\n body: JSON.stringify(body),\n });\n const data = await upstream.json();\n return new Response(JSON.stringify(data), {\n status: upstream.status,\n headers: { \"Content-Type\": \"application/json\" },\n });\n }\n\n return new Response(HTML, {\n status: 200,\n headers: { \"Content-Type\": \"text/html; charset=utf-8\" },\n });\n}",[181],"19220bb6-3152-11f1-9f6b-42dde27851f2","new-file-3007.ts","c6320396-313f-11f1-ac46-42dde27851f2",64,["D",1775436410376],11,"// Val Town HTTP handler -- Visual Intelligence by LearnSTEM Initiative\n// Set ANTHROPIC_API_KEY in your Val Town Environment Variables.\n\nconst HTML: string = `\n\n\n\n\nVisual Intelligence — LearnSTEM Initiative\n\n\n\n\n\n

Visual Intelligence

Upload any image, poster, or paper — LearnSTEM AI breaks it down for you

\n\n\n\n\n

\n \n

📷

Drop your file here

Upload an image, scientific poster, infographic, or research paper to get an instant LearnSTEM AI breakdown

\n PNG\n JPG\n PDF\n WEBP\n

\n \n

\n \n \n

\n\n \n

Ready to analyze

Upload something on the left and hit Analyze

\n\n \n\n \n\n

🔬

Your LearnSTEM AI-powered breakdown will appear here once you upload and analyze a file

\n\n \n

\n\n\n\n`;\n\nexport default async function handler(req: Request): Promise {\n const url = new URL(req.url);\n\n if (req.method === \"POST\" && url.pathname === \"/api/claude\") {\n const apiKey = Deno.env.get(\"ANTHROPIC_API_KEY\") ?? \"\";\n if (!apiKey) {\n return new Response(\n JSON.stringify({ error: \"ANTHROPIC_API_KEY not set\" }),\n {\n status: 500,\n headers: { \"Content-Type\": \"application/json\" },\n },\n );\n }\n const body = await req.json();\n const upstream = await fetch(\"https://api.anthropic.com/v1/messages\", {\n method: \"POST\",\n headers: {\n \"Content-Type\": \"application/json\",\n \"x-api-key\": apiKey,\n \"anthropic-version\": \"2023-06-01\",\n },\n body: JSON.stringify(body),\n });\n const data = await upstream.json();\n return new Response(JSON.stringify(data), {\n status: upstream.status,\n headers: { \"Content-Type\": \"application/json\" },\n });\n }\n\n return new Response(HTML, {\n status: 200,\n headers: { \"Content-Type\": \"text/html; charset=utf-8\" },\n });\n}",[189],"b7c5663a-30ff-11f1-991a-42dde27851f2","new-file-2907.ts","852c5770-3081-11f1-9012-42dde27851f2",44,["D",1775401028307],"export default async function (req: Request): Promise {\n const url = new URL(req.url);\n\n // Handle API proxy\n if (req.method === \"POST\" && url.pathname === \"/api/claude\") {\n const corsHeaders = {\n \"Access-Control-Allow-Origin\": \"*\",\n \"Access-Control-Allow-Methods\": \"POST, OPTIONS\",\n \"Access-Control-Allow-Headers\": \"Content-Type\",\n };\n\n let body;\n try {\n body = await req.json();\n } catch {\n return new Response(JSON.stringify({ error: \"Invalid JSON\" }), {\n status: 400,\n headers: { ...corsHeaders, \"Content-Type\": \"application/json\" },\n });\n }\n\n const apiKey = Deno.env.get(\"ANTHROPIC_API_KEY\");\n if (!apiKey) {\n return new Response(JSON.stringify({ error: \"API key not configured\" }), {\n status: 500,\n headers: { ...corsHeaders, \"Content-Type\": \"application/json\" },\n });\n }\n\n const response = await fetch(\"https://api.anthropic.com/v1/messages\", {\n method: \"POST\",\n headers: {\n \"Content-Type\": \"application/json\",\n \"x-api-key\": apiKey,\n \"anthropic-version\": \"2023-06-01\",\n },\n body: JSON.stringify(body),\n });\n\n const data = await response.json();\n return new Response(JSON.stringify(data), {\n status: response.status,\n headers: { ...corsHeaders, \"Content-Type\": \"application/json\" },\n });\n }\n\n // Handle CORS preflight\n if (req.method === \"OPTIONS\") {\n return new Response(null, {\n status: 204,\n headers: {\n \"Access-Control-Allow-Origin\": \"*\",\n \"Access-Control-Allow-Methods\": \"POST, OPTIONS\",\n \"Access-Control-Allow-Headers\": \"Content-Type\",\n },\n });\n }\n\n // Serve the full HTML app\n const html = `\n\n\n\n\nLearnSTEM AI\n\n\n\n\n

Have a STEM question?

Instant answers from our AI-powered learning assistant — science, math, tech, engineering.

\n Click below\n \n

\n\n

\n \n

LearnSTEM AI

AI-powered learning assistant

\n \n \n

\n \n

\n\n

\n \n LearnSTEM AI\n

\n\n\n\n`;\n\n return new Response(html, {\n status: 200,\n headers: { \"Content-Type\": \"text/html; charset=utf-8\" },\n });\n}",[197],"40005fac-3081-11f1-9018-42dde27851f2","new-file-2487.ts","3ab32408-3081-11f1-b557-42dde27851f2",35,["D",1775346710777],"const HTML = `\n\n\n\n\nPractice Problem Generator\n\n\n\n\n\n\n

Practice Problem Generator

Choose your subject and difficulty, then generate unlimited AI-powered practice problems with full worked solutions.

\n\n

Subject

\n \n \n \n \n \n \n

Difficulty Level

\n \n \n \n \n

\n \n

\n\n\n\n

\n 🔬\n

Select a subject and level above, then hit Generate to get your first problem.

\n\n\n\n`;\n\nexport default async function (req: Request): Promise {\n const url = new URL(req.url);\n\n if (req.method === \"GET\" && url.pathname === \"/\") {\n return new Response(HTML, {\n headers: { \"Content-Type\": \"text/html; charset=utf-8\" },\n });\n }\n\n const apiKey = Deno.env.get(\"ANTHROPIC_API_KEY\");\n if (!apiKey) {\n return new Response(\"Missing ANTHROPIC_API_KEY\", { status: 500 });\n }\n\n if (req.method === \"POST\" && url.pathname === \"/problem\") {\n let body: any;\n try {\n body = await req.json();\n } catch {\n return new Response(\"Invalid JSON\", { status: 400 });\n }\n\n const { subject = \"Algebra\", difficulty = \"Beginner\" } = body;\n\n const prompt = `You are an expert educator creating a practice problem.\nSubject: ${subject}\nDifficulty: ${difficulty}\n\nGenerate one multiple-choice practice problem appropriate for this subject and difficulty level.\nMake it specific, well-worded, and educational. For math/science include realistic numbers and context.\n\nReturn ONLY raw JSON with no markdown fences:\n{\n \"question\": \"The full problem statement. Use plain text. For math write expressions like x^2 + 3x - 4 or use words like squared.\",\n \"choices\": [\"choice A text\", \"choice B text\", \"choice C text\", \"choice D text\"],\n \"correctIndex\": 0,\n \"answer\": \"The correct answer with brief justification\",\n \"hint\": \"A helpful nudge that guides without giving away the answer\",\n \"steps\": [\n \"Step 1: what to do and why\",\n \"Step 2: next step\",\n \"Step 3: continue\",\n \"Step 4: final step leading to the answer\"\n ],\n \"points\": 10\n}\n\ncorrectIndex must be 0, 1, 2, or 3. Make sure exactly one choice is correct and the others are plausible but wrong.`;\n\n const r = await fetch(\"https://api.anthropic.com/v1/messages\", {\n method: \"POST\",\n headers: {\n \"Content-Type\": \"application/json\",\n \"x-api-key\": apiKey,\n \"anthropic-version\": \"2023-06-01\",\n },\n body: JSON.stringify({\n model: \"claude-sonnet-4-20250514\",\n max_tokens: 1200,\n messages: [{ role: \"user\", content: prompt }],\n }),\n });\n\n if (!r.ok) {\n return new Response(\"Anthropic error: \" + await r.text(), {\n status: 502,\n });\n }\n const data = await r.json();\n const raw = (data.content as any[]).map((b: any) => b.text || \"\").join(\"\");\n try {\n const parsed = JSON.parse(raw.replace(/```json|```/g, \"\").trim());\n return new Response(JSON.stringify(parsed), {\n headers: { \"Content-Type\": \"application/json\" },\n });\n } catch {\n return new Response(JSON.stringify({ error: \"Parse error\", raw }), {\n status: 500,\n headers: { \"Content-Type\": \"application/json\" },\n });\n }\n }\n\n return new Response(\"Not found\", { status: 404 });\n}",[204],"c528c87c-307c-11f1-b005-42dde27851f2","main.ts","428c9bf6-3067-11f1-b902-42dde27851f2",23,["D",1775344786690],22,"// Val Town HTTP handler -- Cold Email Creator by LearnSTEM Initiative\n// Set ANTHROPIC_API_KEY in your Val Town Environment Variables.\n\nconst HTML: string =\n '\\n\\n\\n\\n\\nCold Email Creator \\u2014 LearnSTEM Initiative\\n\\n\\n\\n\\n\\n

\\n

\\n \\n

\\n

\\n\\n

\\n\\n \\n

About You

\\n

\\n Your Name *\\n \\n

\\n

\\n Your Email\\n \\n

\\n

\\n Your School / Organization\\n \\n

\\n

\\n Your Major / Focus Area\\n \\n

\\n

\\n Relevant Experience / Achievements\\n \\n

\\n

\\n\\n \\n

Who You\\'re Emailing

\\n

\\n Recipient Name *\\n \\n

\\n

\\n Their Title / Role\\n \\n

\\n

\\n Their Organization\\n \\n

\\n

\\n Their Field / Department\\n \\n Helps Claude personalize the email to their specific work\\n

\\n

\\n Known Work / Projects (optional)\\n \\n The more specific, the more personal the email\\n

\\n

\\n\\n \\n

Purpose & Goals

\\n

\\n What are you looking for? *\\n

\\n \\n \\n \\n \\n \\n \\n \\n \\n

\\n \\n

\\n

\\n Why THIS person specifically?\\n \\n

\\n

\\n Key skills / topics you want to highlight\\n

\\n \\n

\\n e.g. Python, machine learning, lab experience, leadership\\n

\\n

\\n\\n \\n

Email Settings

\\n

\\n Tone\\n

\\n \\n \\n \\n \\n

\\n

\\n Email Length\\n

\\n \\n \\n \\n

\\n

\\n Additional Context (optional)\\n \\n

0 / 500

\\n

\\n\\n

\\n \\n \\n \\n

\\n

\\n\\n \\n

Your Email

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✉

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Fill in the fields above and click Generate Email to create your personalized cold email.

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Recent Emails

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Cold Email Tips

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🎯

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Lead with Them, Not You

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Open by referencing something specific about their work. This shows you\\'ve done your homework and immediately differentiates you from generic outreach.

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✏️

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One Clear Ask

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Every cold email needs exactly one specific, easy-to-fulfill request. \"Could we have a 15-minute call?\" is better than \"I\\'d love to work with you somehow.\"

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📈

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Follow Up Once

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If no reply after 5-7 business days, send one short follow-up. Response rates from follow-ups can be nearly as high as the original email.

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🔍

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Research First

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Look up their recent publications, LinkedIn, or company news before writing. Mentioning a specific paper or project shows genuine interest.

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🕒

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Respect Their Time

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Busy people skim. Get to the point by sentence two. If your email takes more than 45 seconds to read, it\\'s too long for a cold outreach.

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🏆

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Credibility Signals

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One or two specific achievements beat a long list. \"Led a team that won the state robotics championship\" lands harder than \"I have leadership experience.\"

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Access Dates Matter

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