Search

type User = { email: string };

// specify the type inside the TS generic <> to define the type of your array

export let myUserArray = BlobArray<User>("my-user-array");

- <https://www.val.town/v/jxnblk/valTownBadgeSVG> SVG badge image service

- <https://www.val.town/v/jxnblk/valTownLogotypeReact> Val Town logo React component

- <https://www.val.town/v/jxnblk/codeIconReact> Code icon React component

- <https://www.val.town/v/jxnblk/valTownBadge> HTML generator that uses `import.meta.url` to create a link to your val

export const umbrellaReminder = async (arg) => {

if (arg.method) return Response.json("");

let location = "Upper West Side, New York"; // <---- customize this line

let [{ lat, lon }] = await nominatimSearch({

q: location,

headers: {

"User-Agent": req.headers.get("user-agent")!,

"X-Forwarded-For": req.headers.get("true-client-ip")!,

"Content-Type": "application/json",

body: JSON.stringify({

export default async function(e: Email) {

const client = new OpenAI();

const Messages = z.object({

content: z.string(),

const completion = await client.beta.chat.completions.parse({

messages: [

You are a helpful email assistant. Reply to emails to your best abilities, but keep responses short and concise around 280 characters.`;

const completion2 = await client.chat.completions.create({

messages: [{ role: "system", content: systemPrompt }].concat(results),

</return_format>

<warnings>

List critical considerations for accuracy, verification requirements, and potential limitations of the data or analysis.

</warnings>

3. Ensure that your transformed request is more detailed and comprehensive than the original query, providing a clear structure for research and analysis.

const params = new URLSearchParams();

params.append("client_secret", secret);

params.append("grant_type", "client_credentials");

params.append("scope", "openid,AdobeID,read_organizations");

let resp = await fetch(`https://ims-na1.adobelogin.com/ims/token/v2?client_id=${id}`, {

method: "POST",

headers: {

"Content-Type": "application/json",

// This is NOT your app's client ID. This is the official twitch UI client ID.

// This is required to authenticate against this request.

"Client-Id": "kimne78kx3ncx6brgo4mv6wki5h1ko",

body: JSON.stringify({

operationName: "VideoAccessToken_Clip",

role: "system",

content:

role: "user",

content: e.text || e.html || "No content",

const Airtable = require("airtable");

export default async function saveToAirtable(videoName, videoDescription, videoCover, videoFile, clientLogo) {

// Set up your Airtable API key and base ID

{ url: videoCover }, // assuming videoCover is a URL to the uploaded file

"ssa-video-clientLogo": [

{ url: clientLogo }, // assuming clientLogo is a URL to the uploaded file

"ssa-video-videoFile": [

return hash;

const { LemmyHttp } = await import("npm:lemmy-js-client@0.18.1");

let client = new LemmyHttp(`https://${instance}`, {

fetchFunction: fetch,

// (client as any)["#fetchFunction"] = fetch;

let comments = (await fetchRss(redditUrl)).filter((i) =>

lemmyId: undefined,

const ret = await client.createComment({

post_id: postId,

if (existingStatus.contentHash !== contentHash) {

await client.editComment({

comment_id: existingStatus.lemmyId,

// Add parameters conditionally

const searchParams = new URLSearchParams({

client_id: UNSPLASH_ACCESS_KEY,

// Add orientation only if specified

if (orientationParam) {

headers: {

"Accept-Version": "v1",

"Authorization": `Client-ID ${UNSPLASH_ACCESS_KEY}`,

if (!response.ok) {

// Include the response body for more detailed error information

"name": "Joey Flores, Co-founder and CEO of Earbits, Inc."

"name": "Yotam Rosenbaum, SVP of Operations, Earbits, Inc."

"skills": [{

"keywords": ["HTML / JSX", "SCSS / CSS / BEM / Styled Components", "Javascript / Typescript", "React / Next", "Redux / Apollo"],

"level": "Senior",

"startDate": "2020-05-05",

"highlights": ["Tokenized is a Bitcoin wallet for issuing, managing and trading digital tokens. I built out the front end which was packaged as an electron app. It was a difficult frontend to build because we store the users keys locally and used them to sign transactions and contracts.", "React", "Redux", "SCSS", "Product"],

"startDateYear": "2020",

"endDate": "2020-01-01",

"highlights": ["Blockbid is an Australian crypto currency exchange. I started off on the frontend but eventually became lead tech and worked on every moving piece of the exchange. I really enjoyed working with liquidity providers and connecting their platforms to help us achieve liquid markets.", "React, Apollo, Styled Components", "Node.js / Rails", "Docker / Heroku / GCP", "Used Figma for design and UX work", "Optimizing markets with tens of millions of rows using SQL."],

"startDateYear": "2018",

"boolHighlights": true

"highlights": ["Built a very large and complex React / Redux application. It works on all platforms and has IOS/Android builds due to it being a PWA. (wrapped it in React Native though only implementing a WebView)", "Worked with Postgres, Redis and Dynamodb for storage.", "Hosted on a mixture of Heroku Apps and EC2 servers.", "Caching by Fastly and Cloudflare", "Hybrid app supported on all platforms"],

"website": "https://listium.com",

role: "system",

content:

role: "user",

content: e.text || e.html || "No content",

import { generateNewsletterJsx } from "https://esm.town/v/petermillspaugh/generateNewsletterJsx";

import { newsletters } from "https://esm.town/v/petermillspaugh/newsletters";

import { email as sendEmail } from "https://esm.town/v/std/email?v=11";

import { sqlite } from "https://esm.town/v/std/sqlite?v=4";

import { render } from "npm:preact-render-to-string";

type SubscriberRow = [

subscriberId: number,