Kamal (privacy szn)

Web3 Student & Reader.

[Kamal (privacy szn) @BnbKms]

good night ct

lets connect🫶 fcfs 5k

[Isra @israfill]

8317 reasons to keep tweeting

thanks to everyone, you all are now my small family 💜

in this journey i understand consistency is the only cheat code that actually works

btw i will publish Claude + Hermes + Obsidian (FULL PLAYBOOK) article

keep notification on so you don’t miss 🔔

[Kamal (privacy szn) @BnbKms]

congratulation brother

keep dropping free tools and banger articles for us

we helped a lot

[Isra @israfill]

8317 reasons to keep tweeting

thanks to everyone, you all are now my small family 💜

in this journey i understand consistency is the only cheat code that actually works

btw i will publish Claude + Hermes + Obsidian (FULL PLAYBOOK) article

keep notification on so you don’t miss 🔔

[Isra @israfill]

your agent can search Twitter, Reddit, and GitHub for free - zero API keys, zero billing 😳

agent-reach is trending on github with 23K stars. it lets your AI agent read Twitter posts, browse Reddit threads, search GitHub repos, watch YouTube videos - all without paying for a single API subscription

what your agent accesses for $0:
- Twitter/X posts, profiles, and search
- Reddit threads and comments
- YouTube videos, metadata, and search
- GitHub repos, issues, and profiles
- 10+ more platforms - all in one pip install

what this replaces:
- Twitter API: $100/mo for basic access
- Reddit API: rate-limited free tier, expensive at scale
- YouTube API: quota limits, pay for more
- GitHub API: generous but still rate-limited

why this matters:
- most AI agents are blind to the internet because APIs cost money
- this gives any agent real-time web access at zero marginal cost
- perfect for research agents, content radar, competitive intel, market analysis

how to set up (2 min):

> pip install agent-reach
> run: agent-reach doctor
> connect it to your agent as a tool
> done - your agent can now search the internet for free

important:
- uses direct parsing, not official APIs - no keys needed
- works with claude code, cursor, aider, langchain, any agent framework
- MIT licensed, fully open source
- not for production web scraping at scale - use for agentic research and prototyping
- 23K stars and trending - community vetted

let your agent browse Twitter, Reddit, and GitHub for $0
while everyone else is paying $100+/mo for API access

bookmark this before payying for extra api

↓ repo in comment

[Kamal (privacy szn) @BnbKms]

your agent can search Twitter, Reddit, and GitHub for free - zero API keys, zero billing 😳

what your agent accesses for $0:
- Twitter/X posts, profiles, and search
- Reddit threads and comments
- YouTube videos, metadata, and search
- GitHub repos, issues, and profiles

[Isra @israfill]

your agent can search Twitter, Reddit, and GitHub for free - zero API keys, zero billing 😳

agent-reach is trending on github with 23K stars. it lets your AI agent read Twitter posts, browse Reddit threads, search GitHub repos, watch YouTube videos - all without paying for a single API subscription

what your agent accesses for $0:
- Twitter/X posts, profiles, and search
- Reddit threads and comments
- YouTube videos, metadata, and search
- GitHub repos, issues, and profiles
- 10+ more platforms - all in one pip install

what this replaces:
- Twitter API: $100/mo for basic access
- Reddit API: rate-limited free tier, expensive at scale
- YouTube API: quota limits, pay for more
- GitHub API: generous but still rate-limited

why this matters:
- most AI agents are blind to the internet because APIs cost money
- this gives any agent real-time web access at zero marginal cost
- perfect for research agents, content radar, competitive intel, market analysis

how to set up (2 min):

> pip install agent-reach
> run: agent-reach doctor
> connect it to your agent as a tool
> done - your agent can now search the internet for free

important:
- uses direct parsing, not official APIs - no keys needed
- works with claude code, cursor, aider, langchain, any agent framework
- MIT licensed, fully open source
- not for production web scraping at scale - use for agentic research and prototyping
- 23K stars and trending - community vetted

let your agent browse Twitter, Reddit, and GitHub for $0
while everyone else is paying $100+/mo for API access

bookmark this before payying for extra api

↓ repo in comment

[Isra @israfill]

you can build production AI agents with GPT-5.5, grok 4.20, AND kimi k2.6 - 500 runs/month for FREE 😳

no credit card, google login works.

stackai were acquired by asana last year and just opened up their free tier

what you get for $0:
- 500 agent runs per month (resets monthly)
- GPT-5.5, grok 4.20, kimi k2.6, claude, gemini, 30+ model providers
- visual drag-and-drop workflow builder (no code needed)
- RAG from documents, web, google drive, notion
- multi-modal: vision, text-to-speech, speech-to-text
- logic nodes: python, javascript, code execution
- browser extension, slack bot, REST API access
- 2 projects, 1 seat

what sets it apart from other free agent builders:
- founded by MIT PhDs, backed by $16M series A
- acquired by asana - not a random startup
- 100+ enterprise integrations (salesforce, sharepoint, snowflake)
- human-in-the-loop oversight
- SOC 2 / HIPAA / GDPR compliance even on free tier
- switch models per step in your workflow

how to get started (3 min):

> go to https://t.co/5fuoYSgXWe
> sign up with google - no credit card
> create a new project
> pick your model (GPT-5.5, grok, kimi, claude, whichever)
> build your agent with the drag-and-drop editor
> publish and use the chat UI or API endpoint

important:
- 500 runs/month limit - fine for testing and prototyping
- 2 projects cap - enough to experiment
- you can use temporary emails for multiple accounts to extend runs
- no production SLA, this is for building and learning
- runs reset monthly, not daily

visual agent builder + 5 frontier models + enterprise integrations = $0

while everyone else pays $20/mo for each model subscription

bookmark this before the free tier changes

[Kamal (privacy szn) @BnbKms]

you can build production AI agents with GPT-5.5, grok 4.20, AND kimi k2.6 - 500 runs/month for FREE 😳

what you get for $0:
- 500 agent runs per month (resets monthly)
- GPT-5.5, grok 4.20, kimi k2.6, claude, gemini, 30+ model providers

[Isra @israfill]

you can build production AI agents with GPT-5.5, grok 4.20, AND kimi k2.6 - 500 runs/month for FREE 😳

no credit card, google login works.

stackai were acquired by asana last year and just opened up their free tier

what you get for $0:
- 500 agent runs per month (resets monthly)
- GPT-5.5, grok 4.20, kimi k2.6, claude, gemini, 30+ model providers
- visual drag-and-drop workflow builder (no code needed)
- RAG from documents, web, google drive, notion
- multi-modal: vision, text-to-speech, speech-to-text
- logic nodes: python, javascript, code execution
- browser extension, slack bot, REST API access
- 2 projects, 1 seat

what sets it apart from other free agent builders:
- founded by MIT PhDs, backed by $16M series A
- acquired by asana - not a random startup
- 100+ enterprise integrations (salesforce, sharepoint, snowflake)
- human-in-the-loop oversight
- SOC 2 / HIPAA / GDPR compliance even on free tier
- switch models per step in your workflow

how to get started (3 min):

> go to https://t.co/5fuoYSgXWe
> sign up with google - no credit card
> create a new project
> pick your model (GPT-5.5, grok, kimi, claude, whichever)
> build your agent with the drag-and-drop editor
> publish and use the chat UI or API endpoint

important:
- 500 runs/month limit - fine for testing and prototyping
- 2 projects cap - enough to experiment
- you can use temporary emails for multiple accounts to extend runs
- no production SLA, this is for building and learning
- runs reset monthly, not daily

visual agent builder + 5 frontier models + enterprise integrations = $0

while everyone else pays $20/mo for each model subscription

bookmark this before the free tier changes

[Isra @israfill]

i built a panel of 5 AI investors using minimax m3 that tear startup ideas apart in 60 seconds

each one is a separate MiniMax M3 agent running in parallel: a market analyst, a competition researcher, an ex-CTO, a timing skeptic, and a partner who has heard 10,000 pitches

ideas i ran through it:

- AI-powered todo list app: 12/100. verdict: this is a feature, not a company. bury this.
- AI pin that replaces your phone: 16/100. it dug up Humane's corpse unprompted ($230M burned, sold to HP for parts)
- AI agent that replies to viral tweets for growth: 18/100. the only moat here is the gullibility of new founders
- solar permitting paperwork agent: 59/100. the only INVEST stamp after 15+ runs

every run also returns:
- the one killer question that sinks the idea
- a graveyard of real dead startups that tried it before you
- a fix my idea button that pivots the idea and re-runs the panel
- a downloadable one page investor memo

why MiniMax M3 carries this:
- 16 reasoning calls fire in parallel and you watch every agent think live in the terminal
- it names real competitors, real funding rounds, real shutdowns with zero web access
- a full panel run costs $0.02
- openai-compatible, one base url swap and it runs anywhere

and minimax confirmed the M3 weights go open source TODAY, so soon you can run this exact panel on your own GPUs

total api spend to build and test everything: under $0.50

drop your startup idea in the replies or pressure test it yourself:
https://t.co/sJPjyc6FaU

[Kamal (privacy szn) @BnbKms]

if you struggling to research about ur startup niche

this tool will help you a lot

try this its free

[Isra @israfill]

i built a panel of 5 AI investors using minimax m3 that tear startup ideas apart in 60 seconds

each one is a separate MiniMax M3 agent running in parallel: a market analyst, a competition researcher, an ex-CTO, a timing skeptic, and a partner who has heard 10,000 pitches

ideas i ran through it:

- AI-powered todo list app: 12/100. verdict: this is a feature, not a company. bury this.
- AI pin that replaces your phone: 16/100. it dug up Humane's corpse unprompted ($230M burned, sold to HP for parts)
- AI agent that replies to viral tweets for growth: 18/100. the only moat here is the gullibility of new founders
- solar permitting paperwork agent: 59/100. the only INVEST stamp after 15+ runs

every run also returns:
- the one killer question that sinks the idea
- a graveyard of real dead startups that tried it before you
- a fix my idea button that pivots the idea and re-runs the panel
- a downloadable one page investor memo

why MiniMax M3 carries this:
- 16 reasoning calls fire in parallel and you watch every agent think live in the terminal
- it names real competitors, real funding rounds, real shutdowns with zero web access
- a full panel run costs $0.02
- openai-compatible, one base url swap and it runs anywhere

and minimax confirmed the M3 weights go open source TODAY, so soon you can run this exact panel on your own GPUs

total api spend to build and test everything: under $0.50

drop your startup idea in the replies or pressure test it yourself:
https://t.co/sJPjyc6FaU

[Farea @FareaNFts]

a researcher using anthropic AI fable 5 (mythos) just found a bug that could silently print unlimited zcash and nobody knew it existed since 2022 😳

here's the full zcash story from the beginning 🧵

beginning (2016):
- zcash launched as a bitcoin fork on october 28, 2016
- built by cryptographers from johns hopkins and others
- introduced zk-snarks, zero knowledge proofs for private transactions
- users could choose transparent addresses (public like bitcoin) or shielded ones (hiding sender, receiver and amount)
- financial privacy as a human right was the mission

early controversy:
- founders reward gave 20% of block rewards to ECC, early investors and founders for 4 years
- critics called it a hidden pre-mine and insider tax
- trust issues started early

2026 governance split:
- entire ECC team split from bootstrap nonprofit in early 2026
- cited misalignment with board members
- zooko wilcox (founder) publicly defended the board
- new company formed, protocol unaffected but price dropped on uncertainty

bug that shook everything:
- june 2026: critical soundness bug discovered in orchard shielded pool
- present since 2022 and nobody found it
- could theoretically allow unlimited undetectable counterfeit ZEC inside shielded pool
- found by researcher taylor hornby using anthropic AI
- emergency soft fork june 2, hard fork patch followed
- no evidence of exploitation found

large withdrawal that looked like a rug:
- arkham intelligence reported nearly 1% of all ZEC in orchard pool being withdrawn
- looked like a rug on the surface
- actually users migrating funds ahead of ironwood upgrade (targeting late july 2026)
- ironwood introduces a new formally verified shielded pool with better supply tracking
- old orchard pool goes withdraw-only after upgrade
- price dropped 30-40% on bug disclosure then recovered 80%+

two founders behind it all:
- zooko wilcox (founder, born 1974): cypherpunk, built zcash, handed CEO role to josh swihart in december 2023, now strategic advisor
- josh swihart (CEO since dec 2023): led ECC team, founded zcash open development lab (ZODL), building zashi wallet and ironwood upgrade

where zcash stands today:
- protocol still fully operational
- ironwood upgrade coming late july 2026
- new formally verified privacy pool being built
- active development continuing despite governance drama

a 10 year old privacy coin. a silent bug since 2022. a governance war. and a major upgrade incoming

would you trust zcash after all this? 👇

[Isra @israfill]

use kimi k2.6 for FREE through nvidia's api AND their new desktop app with 300 agents 😳

kimi beats GPT-5 on coding benchmarks

what you will get for $0:
- kimi k2.6: SWE-Bench Pro 58.6, Multilingual 76.7
- free for 1 year on NVIDIA's API
- 4,000+ tool calls per session
- 300 parallel agents

what the new desktop app does:
- runs native agent swarms on mac/windows
- builds full PPTX, Word, Excel, PDF files
- agents browse the web, click, type, fill forms for you
- built-in finance data (yahoo, binance, world bank)
- remembers your workflow + turns repeated tasks into skills

how to get both for free (5 min):
> go to https://t.co/BIIXYD9PJA and sign up (web + desktop)
> go to https://t.co/V6J008DsGg, search kimi-k2.6
> generate a free api key
> paste into any openai-compatible client (cursor, cline, etc)
> base url: https://t.co/snZSjFRN41

important:
- nvidia tier has ~40 req/min rate limit
- desktop free tier has some agent limits
- not for production workloads
- phone verify may be needed for nvidia

sota coding model + full desktop agent suite = $0
while most people are paying $20/mo for each

bookmark this before the free tiers change

[Kamal (privacy szn) @BnbKms]

use kimi k2.6 for FREE through nvidia's api AND their new desktop app with 300 agents 😳

kimi beats GPT-5 on coding benchmarks

what you will get for $0:
- kimi k2.6: SWE-Bench Pro 58.6, Multilingual 76.7
- free for 1 year on NVIDIA's API
- 300 parallel agents

[Isra @israfill]

use kimi k2.6 for FREE through nvidia's api AND their new desktop app with 300 agents 😳

kimi beats GPT-5 on coding benchmarks

what you will get for $0:
- kimi k2.6: SWE-Bench Pro 58.6, Multilingual 76.7
- free for 1 year on NVIDIA's API
- 4,000+ tool calls per session
- 300 parallel agents

what the new desktop app does:
- runs native agent swarms on mac/windows
- builds full PPTX, Word, Excel, PDF files
- agents browse the web, click, type, fill forms for you
- built-in finance data (yahoo, binance, world bank)
- remembers your workflow + turns repeated tasks into skills

how to get both for free (5 min):
> go to https://t.co/BIIXYD9PJA and sign up (web + desktop)
> go to https://t.co/V6J008DsGg, search kimi-k2.6
> generate a free api key
> paste into any openai-compatible client (cursor, cline, etc)
> base url: https://t.co/snZSjFRN41

important:
- nvidia tier has ~40 req/min rate limit
- desktop free tier has some agent limits
- not for production workloads
- phone verify may be needed for nvidia

sota coding model + full desktop agent suite = $0
while most people are paying $20/mo for each

bookmark this before the free tiers change

[Isra @israfill]

you can use unlimited FREE deepseek v4 pro & flash, minimax m3, gemini 3.5 flash with zero credit card 😳

b. ai giving 500k free credits on signup, no verification needed

what you get:
- deepseek v4 pro & flash
- gemini 3.5 flash
- minimax m3
- more frontier models

it's openai compatible so you can plug it into any agent or bot. you just swap the base url and your existing tools work

full setup guide (bai 500k free credits):

step 1: go to https://t.co/pK3GidYD3R
> click "try b. ai" in the top right

step 2: sign up with google
> any gmail works, burner is fine.

step 3: credits appear instantly
> 500,000 in your account. no card, no verification need

step 4: swap your base url
> replace your openai endpoint with https://t.co/pK3GidYD3R's api endpoint
> all your existing tools and agents just work

step 5: repeat with a fresh email when you run out
> use [email protected], [email protected] etc
> each account gets 500k fresh credits
> incognito browser for each one

there's also a 1:1 top-up bonus up to $100 if you run through it all

meaning you deposit $10, they give $10 free extends your credits without creating new accounts

3 things to test with 500k credits:
1. stress test your agent pipeline across 4 models at once
2. compare model outputs side by side to find your cheapest option
3. run batch inference on a dataset without worrying about cost

this is the most generous free credit offer live right now

bookmark this and get this before the subsidy pool runs out

[Kamal (privacy szn) @BnbKms]

you can use unlimited FREE deepseek v4 pro & flash, minimax m3, gemini 3.5 flash with zero credit card 😳

what you get:
- deepseek v4 pro & flash
- gemini 3.5 flash
- minimax m3
- more frontier models

[Isra @israfill]

you can use unlimited FREE deepseek v4 pro & flash, minimax m3, gemini 3.5 flash with zero credit card 😳

b. ai giving 500k free credits on signup, no verification needed

what you get:
- deepseek v4 pro & flash
- gemini 3.5 flash
- minimax m3
- more frontier models

it's openai compatible so you can plug it into any agent or bot. you just swap the base url and your existing tools work

full setup guide (bai 500k free credits):

step 1: go to https://t.co/pK3GidYD3R
> click "try b. ai" in the top right

step 2: sign up with google
> any gmail works, burner is fine.

step 3: credits appear instantly
> 500,000 in your account. no card, no verification need

step 4: swap your base url
> replace your openai endpoint with https://t.co/pK3GidYD3R's api endpoint
> all your existing tools and agents just work

step 5: repeat with a fresh email when you run out
> use [email protected], [email protected] etc
> each account gets 500k fresh credits
> incognito browser for each one

there's also a 1:1 top-up bonus up to $100 if you run through it all

meaning you deposit $10, they give $10 free extends your credits without creating new accounts

3 things to test with 500k credits:
1. stress test your agent pipeline across 4 models at once
2. compare model outputs side by side to find your cheapest option
3. run batch inference on a dataset without worrying about cost

this is the most generous free credit offer live right now

bookmark this and get this before the subsidy pool runs out

[Kamal (privacy szn) @BnbKms]

my boss is getting replaced by an claw ai

wtffff

[Isra @israfill]

unpopular opinion: most companies don't have an AI problem they have an AI coordination problem

chatgpt per person solved the individual layer

nobody solved the team layer until now

@workclaw gives AI a job title, a manager, a computer, and a seat in your slack

it's not an assistant, it's a coworker and the difference is going to matter more than most people realize right now

[Kamal (privacy szn) @BnbKms]

if you want to clone any website then save this

it cost only $0.03

[Isra @israfill]

you can turn a website screenshot into deployable HTML in minutes using Step 3.7 flash 😳

screenshot → live HTML in 2 calls, one model sees the page and writes the code no multi-model pipeline needed

i tested on https://t.co/OWJgvSoZv5 screenshot with only $0.03 cost and got a working layout from one full page screenshot.

what the model extracted:
-> 12 sections
-> 17 components
-> 10 CTAs
-> complete HTML + CSS ready to deploy

this is what multimodal perception + execution looks like in practice. Step 3.7 flash reads visual input directly into its reasoning loop and outputs structured code no handoffs, no lost detail.

the old pipeline:
1. vision model describes the layout
2. coding model interprets the description
3. fix what got scrambled

step 3.7 flash is a high-efficiency model for real-world agent tasks built for multi-step workflows where speed and reliability matter more than synthetic benchmarks.

5 outputs: deployable HTML, sections breakdown, all copy extracted, JSON packet, live browser preview

honest note: first pass is clean. complex layouts may need a small CSS tweak.

@StepFun_ai 3.7 flash model specs: 198B/11B active (sparse MoE), 256K context, up to 400 tok/s, Apache 2.0

3 lines to connect:

BASE_URL = "https://t.co/xUHKCTppPw"
MODEL = "step-3.7-flash"
API_KEY= "Your-Api-Key-Here"

try it at https://t.co/z4p9gMKHW6

save this and clone your favorite website today 👇

[Isra @israfill]

you can turn a website screenshot into deployable HTML in minutes using Step 3.7 flash 😳

screenshot → live HTML in 2 calls, one model sees the page and writes the code no multi-model pipeline needed

i tested on https://t.co/OWJgvSoZv5 screenshot with only $0.03 cost and got a working layout from one full page screenshot.

what the model extracted:
-> 12 sections
-> 17 components
-> 10 CTAs
-> complete HTML + CSS ready to deploy

this is what multimodal perception + execution looks like in practice. Step 3.7 flash reads visual input directly into its reasoning loop and outputs structured code no handoffs, no lost detail.

the old pipeline:
1. vision model describes the layout
2. coding model interprets the description
3. fix what got scrambled

step 3.7 flash is a high-efficiency model for real-world agent tasks built for multi-step workflows where speed and reliability matter more than synthetic benchmarks.

5 outputs: deployable HTML, sections breakdown, all copy extracted, JSON packet, live browser preview

honest note: first pass is clean. complex layouts may need a small CSS tweak.

@StepFun_ai 3.7 flash model specs: 198B/11B active (sparse MoE), 256K context, up to 400 tok/s, Apache 2.0

3 lines to connect:

BASE_URL = "https://t.co/xUHKCTppPw"
MODEL = "step-3.7-flash"
API_KEY= "Your-Api-Key-Here"

try it at https://t.co/z4p9gMKHW6

save this and clone your favorite website today 👇

[Kamal (privacy szn) @BnbKms]

you can turn a website screenshot into deployable HTML in minutes using Step 3.7 flash 😳

old pipeline:
1. vision model describes the layout
2. coding model interprets the description
3. fix what got scrambled

so it fixes this save this and clone website

[Isra @israfill]

you can turn a website screenshot into deployable HTML in minutes using Step 3.7 flash 😳

screenshot → live HTML in 2 calls, one model sees the page and writes the code no multi-model pipeline needed

i tested on https://t.co/OWJgvSoZv5 screenshot with only $0.03 cost and got a working layout from one full page screenshot.

what the model extracted:
-> 12 sections
-> 17 components
-> 10 CTAs
-> complete HTML + CSS ready to deploy

this is what multimodal perception + execution looks like in practice. Step 3.7 flash reads visual input directly into its reasoning loop and outputs structured code no handoffs, no lost detail.

the old pipeline:
1. vision model describes the layout
2. coding model interprets the description
3. fix what got scrambled

step 3.7 flash is a high-efficiency model for real-world agent tasks built for multi-step workflows where speed and reliability matter more than synthetic benchmarks.

5 outputs: deployable HTML, sections breakdown, all copy extracted, JSON packet, live browser preview

honest note: first pass is clean. complex layouts may need a small CSS tweak.

@StepFun_ai 3.7 flash model specs: 198B/11B active (sparse MoE), 256K context, up to 400 tok/s, Apache 2.0

3 lines to connect:

BASE_URL = "https://t.co/xUHKCTppPw"
MODEL = "step-3.7-flash"
API_KEY= "Your-Api-Key-Here"

try it at https://t.co/z4p9gMKHW6

save this and clone your favorite website today 👇

[Isra @israfill]

AWS gives every new account $200 in free credits and you can use it on Claude Opus 4.8, sonnet 4.6, haiku 4.5, all of them 😳

no anthropic account needed. no credit card required

models you can access:
- claude opus 4.8 (latest, best for coding and agents, 1M context)
- claude opus 4.7 (strong agentic and coding tasks)
- claude sonnet 4.6 (best balance of speed and quality)
- claude haiku 4.5 (fastest and cheapest, great for high volume)

here's exactly how:

step 1: create a free AWS account
> go to https://t.co/9m6IASA8jc
> click create a free account
> enter your email and create a password
> add a credit card (required for verification but you won't be charged if you stay within free credits)
> complete phone verification
> select the free basic support plan

step 2: enable claude on amazon bedrock
> go to aws console
> search "bedrock" in the top search bar
> click amazon bedrock
> go to model access in the left sidebar
> find anthropic models
> click request access
> fill out the simple use case form
> approval usually takes a few minutes to a few hours

step 3: test claude for free
> in bedrock click "chat playground"
> select your claude model
> type any prompt and hit run
> you are now running claude on your $200 free credits

what $200 in credits gets you:
- millions of tokens on claude haiku (cheapest, fastest)
- hundreds of thousands on claude sonnet 4.6
- tens of thousands on claude opus 4.8

tips to make credits last:
- use haiku for simple tasks (10-20x cheaper than opus)
- use sonnet 4.6 for most things
- only use opus 4.8 for hard reasoning and coding tasks
- check billing dashboard regularly

⚠️ this is claude API access not claudeai pro
perfect for developers, builders, and anyone testing AI tools

your $200 credits are waiting right now

[Kamal (privacy szn) @BnbKms]

AWS gives every new account $200 in free credits and you can use it on Claude Opus 4.8, sonnet 4.6, haiku 4.5, all of them 😳

no anthropic account needed. no credit card required

[Isra @israfill]

AWS gives every new account $200 in free credits and you can use it on Claude Opus 4.8, sonnet 4.6, haiku 4.5, all of them 😳

no anthropic account needed. no credit card required

models you can access:
- claude opus 4.8 (latest, best for coding and agents, 1M context)
- claude opus 4.7 (strong agentic and coding tasks)
- claude sonnet 4.6 (best balance of speed and quality)
- claude haiku 4.5 (fastest and cheapest, great for high volume)

here's exactly how:

step 1: create a free AWS account
> go to https://t.co/9m6IASA8jc
> click create a free account
> enter your email and create a password
> add a credit card (required for verification but you won't be charged if you stay within free credits)
> complete phone verification
> select the free basic support plan

step 2: enable claude on amazon bedrock
> go to aws console
> search "bedrock" in the top search bar
> click amazon bedrock
> go to model access in the left sidebar
> find anthropic models
> click request access
> fill out the simple use case form
> approval usually takes a few minutes to a few hours

step 3: test claude for free
> in bedrock click "chat playground"
> select your claude model
> type any prompt and hit run
> you are now running claude on your $200 free credits

what $200 in credits gets you:
- millions of tokens on claude haiku (cheapest, fastest)
- hundreds of thousands on claude sonnet 4.6
- tens of thousands on claude opus 4.8

tips to make credits last:
- use haiku for simple tasks (10-20x cheaper than opus)
- use sonnet 4.6 for most things
- only use opus 4.8 for hard reasoning and coding tasks
- check billing dashboard regularly

⚠️ this is claude API access not claudeai pro
perfect for developers, builders, and anyone testing AI tools

your $200 credits are waiting right now

[Isra @israfill]

SOMEONE JUST OPEN-SOURCED AN AI THAT SEARCHES EVERY MAJOR PLATFORM AT ONCE

Reddit, X, YouTube, Hacker News, TikTok, Polymarket, GitHub

not one by one - PARALLEL

it ranks results by what real people actually do:
- upvotes from Reddit
- likes and timing from X
- real money predictions from Polymarket
- commits and PRs from GitHub

then generates ONE brief

28,700+ stars on github 2,400+ forks. MIT license.

Google is strong on the web
ChatGPT has some access
neither of them touches this combination

setup guide (2 minutes):

Claude Code:
> /plugin marketplace add mvanhorn/last30days-skill

Hermes:
> npx skills add mvanhorn/last30days-skill -g -a hermes

Cursor / Codex / Copilot / Gemini CLI:
> npx skills add mvanhorn/last30days-skill -g

then run it:
> /last30days bitcoin
> /last30days "OpenAI vs Anthropic"
> /last30days [any topic]

no API keys needed for Reddit, Hacker News, Polymarket, and GitHub
X works if you're already logged into x. com in your browser

YouTube: brew install yt-dlp

repo in replies